ON DIH CHEESE ts is just so food
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@@ -23,26 +23,46 @@ The pipeline operates in a "Fail-Fast" cascade to optimize performance:
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- Runs a dedicated Binary Classifier to verify "Smoking" vs "Not Smoking".
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- _Output_: Only high-confidence events are flagged as alerts.
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### Key Features
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- **GPU Acceleration**: Auto-detects CUDA and runs inference on GPU when available.
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- **Async Inference**: Detection runs in a background thread; video output never lags.
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- **Adaptive Sampling**:
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- **Idle Mode (2 FPS)**: When no people are detected, saves compute.
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- **Active Mode (Max FPS)**: Switches to full speed when activity is detected.
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- **Cooldown**: Stays active for 2 seconds after people leave frame.
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- **Non-Maximum Suppression (NMS)**: Cleans up overlapping boxes per-class.
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- **Smart Event Recording**: Captures 2s before + 3s after each smoking event as separate clips.
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## 🚀 Usage
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### Prerequisites
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- Python 3.12+
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- Dependencies: `ultralytics`, `opencv-python`, `numpy`
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- Python 3.13+
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- [uv](https://docs.astral.sh/uv/) package manager (recommended)
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- CUDA 13.0+ (optional, for GPU acceleration)
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### Installation
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```bash
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# Clone and enter directory
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cd gp
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# Install dependencies with uv
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uv sync
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```
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### Running the Pipeline
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Run the entry point `main.py` with your video source:
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```bash
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# Run on a local video file
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python main.py --source videos/test_footage.mp4
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uv run main.py --source videos/test_footage.mp4
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# Run on an RTSP stream
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python main.py --source rtsp://admin:[email protected]:554/stream --rtsp
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uv run main.py --source rtsp://admin:[email protected]:554/stream --rtsp
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# Enable debug logging (see frame-by-frame details)
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python main.py --source videos/test.mp4 --debug
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uv run main.py --source videos/test.mp4 --debug
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```
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### CLI Arguments
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@@ -59,7 +79,7 @@ python main.py --source videos/test.mp4 --debug
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## 📊 Outputs
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The system generates three types of artifacts during execution:
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The system generates four types of artifacts during execution:
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1. **Visual Debug (`output.mp4`)**:
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@@ -78,17 +98,46 @@ The system generates three types of artifacts during execution:
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- A structured log file containing **only** confirmed smoking events.
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- Use this file to trigger external notifications or audit logic.
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4. **Event Clips (`events/event_<timestamp>.mp4`)**:
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- Smart clips containing only the smoking incidents.
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- Includes 2 seconds of pre-event context and 3 seconds post-event.
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- Automatically extends if smoking continues.
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5. **Application Logs (`logs/pipeline.log`)**:
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- Rotating log files with detailed debug information.
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- Includes thread names, function calls, and timing data.
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## 📂 Project Structure
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```text
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gp/
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├── main.py # CLI Entry point
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├── pyproject.toml # Project config (uv/pip)
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├── models/ # Directory for .pt model weights
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├── logs/ # Rotating application logs
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├── events/ # Smart event clips (auto-created)
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├── pipeline/
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│ ├── core.py # Main logic loop (Pipeline class)
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│ ├── models.py # Ultralytics model wrappers
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│ ├── sources.py # Stream inputs (File vs RTSP)
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│ ├── outputs.py # Sinks (VideoWriter, JSONL logger)
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│ ├── protocols.py # Interfaces (Model, Verifier, etc.)
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│ └── types.py # Data classes (Frame, Detection, Ticket)
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│ ├── core.py # Main logic loop (Pipeline class, Async Inference)
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│ ├── models.py # Ultralytics model wrappers (GPU-enabled)
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│ ├── sources.py # Stream inputs (File, ThreadedRTSP)
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│ ├── outputs.py # Sinks (VideoFileStore, SmartEventSink, FileAlertStore)
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│ ├── protocols.py # Interfaces (Model, Verifier, Sink, StreamSource)
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│ └── types.py # Data classes (Frame, Detection, Ticket, NMS)
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```
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## ⚙️ Performance Tuning
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The pipeline is designed for real-time performance. Key parameters in `main.py`:
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```python
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pipeline = SmokingDetectionPipeline(
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...
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inference_interval=0.5, # Idle: 2 FPS (saves GPU when empty)
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active_interval=0.0, # Active: Process every frame
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cooldown_frames=60, # Stay active 2s after person leaves
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)
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```
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For RTSP streams, the `ThreadedRTSPSource` uses a background thread to prevent frame buildup and handles reconnection automatically.
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@@ -0,0 +1,385 @@
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2026-01-11 01:42:17,502 | INFO | MainThread | main.main:97 - Loading models... Person: models/human-det-best.pt, Cig: models/cig-det-best.pt, Verifier: models/cig-cls-best.pt
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2026-01-11 01:42:17,502 | INFO | MainThread | pipeline.models.__init__:22 - Loading Person Detector: models/human-det-best.pt
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2026-01-11 01:42:17,529 | INFO | MainThread | pipeline.models.__init__:49 - Loading Cigarette Detector: models/cig-det-best.pt
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2026-01-11 01:42:17,570 | INFO | MainThread | pipeline.models.__init__:77 - Loading Smoking Classifier: models/cig-cls-best.pt
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2026-01-11 01:42:17,609 | INFO | MainThread | pipeline.outputs.__init__:198 - Initialized Async VideoFileStore writing to output.mp4
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2026-01-11 01:42:17,610 | INFO | MainThread | pipeline.outputs.__init__:49 - Initialized SmartEventSink in events
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2026-01-11 01:42:17,610 | INFO | MainThread | pipeline.outputs.__init__:143 - Initialized FileAlertStore writing to alerts.jsonl
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2026-01-11 01:42:17,611 | INFO | MainThread | pipeline.core.__init__:52 - Pipeline initialized with 3 sinks. Async Inference enabled.
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2026-01-11 01:42:17,611 | INFO | MainThread | pipeline.core.process_stream:58 - Starting stream processing...
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2026-01-11 01:42:17,611 | INFO | MainThread | pipeline.sources.stream:43 - Opening video file: .\Group_project_smoking_detection\img\stock-footage-girl-on-a-break-smoking-a-cigarette.webm
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2026-01-11 01:42:17,665 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 100 frames...
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2026-01-11 01:42:17,700 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 200 frames...
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2026-01-11 01:42:17,733 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 300 frames...
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2026-01-11 01:42:17,768 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 400 frames...
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2026-01-11 01:42:17,802 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 500 frames...
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2026-01-11 01:42:17,835 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 600 frames...
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2026-01-11 01:42:17,858 | INFO | MainThread | pipeline.sources.stream:49 - End of video file reached.
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2026-01-11 01:42:17,861 | INFO | MainThread | pipeline.core.process_stream:129 - Stream processing finished.
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2026-01-11 01:42:17,889 | INFO | MainThread | pipeline.outputs.close:321 - VideoFileStore closed.
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2026-01-11 01:42:18,387 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.770s (Slow)
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2026-01-11 01:45:01,042 | INFO | MainThread | main.main:97 - Loading models... Person: models/human-det-best.pt, Cig: models/cig-det-best.pt, Verifier: models/cig-cls-best.pt
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2026-01-11 01:45:01,042 | INFO | MainThread | pipeline.models.__init__:22 - Loading Person Detector: models/human-det-best.pt
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2026-01-11 01:45:01,070 | INFO | MainThread | pipeline.models.__init__:49 - Loading Cigarette Detector: models/cig-det-best.pt
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2026-01-11 01:45:01,123 | INFO | MainThread | pipeline.models.__init__:77 - Loading Smoking Classifier: models/cig-cls-best.pt
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2026-01-11 01:45:01,151 | INFO | MainThread | pipeline.outputs.__init__:198 - Initialized Async VideoFileStore writing to output.mp4
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2026-01-11 01:45:01,152 | INFO | MainThread | pipeline.outputs.__init__:49 - Initialized SmartEventSink in events
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2026-01-11 01:45:01,153 | INFO | MainThread | pipeline.outputs.__init__:143 - Initialized FileAlertStore writing to alerts.jsonl
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2026-01-11 01:45:01,153 | INFO | MainThread | pipeline.core.__init__:52 - Pipeline initialized with 3 sinks. Async Inference enabled.
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2026-01-11 01:45:01,153 | INFO | MainThread | pipeline.core.process_stream:58 - Starting stream processing...
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2026-01-11 01:45:01,153 | INFO | MainThread | pipeline.sources.stream:43 - Opening video file: .\Group_project_smoking_detection\img\stock-footage-girl-on-a-break-smoking-a-cigarette.webm
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2026-01-11 01:45:01,205 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 100 frames...
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2026-01-11 01:45:01,238 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 200 frames...
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2026-01-11 01:45:01,268 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 300 frames...
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2026-01-11 01:45:01,301 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 400 frames...
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2026-01-11 01:45:01,333 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 500 frames...
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2026-01-11 01:45:01,364 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 600 frames...
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2026-01-11 01:45:01,379 | INFO | MainThread | pipeline.sources.stream:49 - End of video file reached.
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2026-01-11 01:45:01,385 | INFO | MainThread | pipeline.core.process_stream:129 - Stream processing finished.
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2026-01-11 01:45:01,414 | INFO | MainThread | pipeline.outputs.close:321 - VideoFileStore closed.
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2026-01-11 01:45:01,878 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.718s (Slow)
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2026-01-11 01:45:25,018 | INFO | MainThread | main.main:97 - Loading models... Person: models/human-det-best.pt, Cig: models/cig-det-best.pt, Verifier: models/cig-cls-best.pt
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2026-01-11 01:45:25,018 | INFO | MainThread | pipeline.models.__init__:22 - Loading Person Detector: models/human-det-best.pt
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2026-01-11 01:45:25,046 | INFO | MainThread | pipeline.models.__init__:49 - Loading Cigarette Detector: models/cig-det-best.pt
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2026-01-11 01:45:25,079 | INFO | MainThread | pipeline.models.__init__:77 - Loading Smoking Classifier: models/cig-cls-best.pt
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2026-01-11 01:45:25,278 | INFO | MainThread | pipeline.outputs.__init__:198 - Initialized Async VideoFileStore writing to output.mp4
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2026-01-11 01:45:25,279 | INFO | MainThread | pipeline.outputs.__init__:49 - Initialized SmartEventSink in events
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2026-01-11 01:45:25,280 | INFO | MainThread | pipeline.outputs.__init__:143 - Initialized FileAlertStore writing to alerts.jsonl
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2026-01-11 01:45:25,280 | INFO | MainThread | pipeline.core.__init__:52 - Pipeline initialized with 3 sinks. Async Inference enabled.
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2026-01-11 01:45:25,281 | INFO | MainThread | pipeline.core.process_stream:58 - Starting stream processing...
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2026-01-11 01:45:25,281 | INFO | MainThread | pipeline.sources.stream:43 - Opening video file: .\Group_project_smoking_detection\img\vecteezy_man-lights-a-cigarette-and-smokes-it_2657337.mov
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2026-01-11 01:45:26,528 | INFO | MainThread | pipeline.core.process_stream:81 - Frame 46: Activity detected! Switching to ACTIVE mode (0s interval).
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2026-01-11 01:45:26,650 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.121s (Slow)
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2026-01-11 01:45:27,792 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 100 frames...
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2026-01-11 01:45:28,253 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.117s (Slow)
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2026-01-11 01:45:28,377 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.92
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2026-01-11 01:45:28,378 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.117s (Slow)
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2026-01-11 01:45:30,125 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 200 frames...
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2026-01-11 01:45:31,182 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.95
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2026-01-11 01:45:31,254 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 1.00
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2026-01-11 01:45:31,398 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.99
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2026-01-11 01:45:31,399 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.119s (Slow)
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2026-01-11 01:45:31,495 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.99
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2026-01-11 01:45:31,802 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.103s (Slow)
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2026-01-11 01:45:32,246 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 300 frames...
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2026-01-11 01:45:32,467 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:189 - Inference took 0.129s (Slow)
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2026-01-11 01:45:33,206 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.90
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2026-01-11 01:45:33,435 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.84
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2026-01-11 01:45:33,697 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.90
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2026-01-11 01:45:33,798 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.89
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2026-01-11 01:45:33,850 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.93
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2026-01-11 01:45:33,940 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.81
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2026-01-11 01:45:34,003 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:164 - CONFIRMED SMOKING! Score: 0.89
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2026-01-11 01:45:34,654 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 400 frames...
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2026-01-11 01:45:36,804 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 500 frames...
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2026-01-11 01:45:37,027 | INFO | MainThread | pipeline.sources.stream:49 - End of video file reached.
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2026-01-11 01:45:37,058 | INFO | MainThread | pipeline.core.process_stream:129 - Stream processing finished.
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2026-01-11 01:45:38,521 | INFO | MainThread | pipeline.outputs.close:321 - VideoFileStore closed.
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2026-01-11 01:59:42,251 | INFO | MainThread | main.main:97 - Loading models... Person: models/human-det-best.pt, Cig: models/cig-det-best.pt, Verifier: models/cig-cls-best.pt
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2026-01-11 01:59:42,252 | INFO | MainThread | pipeline.models.__init__:22 - Loading Person Detector: models/human-det-best.pt
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2026-01-11 01:59:42,283 | INFO | MainThread | pipeline.models.__init__:49 - Loading Cigarette Detector: models/cig-det-best.pt
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2026-01-11 01:59:42,325 | INFO | MainThread | pipeline.models.__init__:77 - Loading Smoking Classifier: models/cig-cls-best.pt
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2026-01-11 01:59:42,512 | INFO | MainThread | pipeline.outputs.__init__:204 - Initialized Async VideoFileStore writing to output.mp4
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2026-01-11 01:59:42,513 | INFO | MainThread | pipeline.outputs.__init__:49 - Initialized SmartEventSink in events
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2026-01-11 01:59:42,514 | INFO | MainThread | pipeline.outputs.__init__:149 - Initialized FileAlertStore writing to alerts.jsonl
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2026-01-11 01:59:42,514 | INFO | MainThread | pipeline.core.__init__:52 - Pipeline initialized with 3 sinks. Async Inference enabled.
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2026-01-11 01:59:42,515 | INFO | MainThread | pipeline.core.process_stream:58 - Starting stream processing...
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2026-01-11 01:59:42,515 | INFO | MainThread | pipeline.sources.stream:43 - Opening video file: .\Group_project_smoking_detection\img\vecteezy_man-lights-a-cigarette-and-smokes-it_2657337.mov
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2026-01-11 01:59:43,812 | INFO | MainThread | pipeline.core.process_stream:81 - Frame 40: Activity detected! Switching to ACTIVE mode (0s interval).
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2026-01-11 01:59:43,932 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.120s (Slow)
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2026-01-11 01:59:46,922 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 100 frames...
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2026-01-11 01:59:47,993 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.130s (Slow)
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2026-01-11 01:59:48,150 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
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2026-01-11 01:59:48,281 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.92
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2026-01-11 01:59:48,281 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.117s (Slow)
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2026-01-11 01:59:48,334 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.92 confirmed at Verifier
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2026-01-11 01:59:51,012 | INFO | MainThread | pipeline.outputs._trigger_event:97 - Started recording event 1768071588
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2026-01-11 01:59:51,821 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.124s (Slow)
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2026-01-11 01:59:52,014 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.142s (Slow)
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2026-01-11 01:59:54,541 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.109s (Slow)
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2026-01-11 01:59:55,645 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.81
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2026-01-11 01:59:55,664 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.81 confirmed at Verifier
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2026-01-11 01:59:55,733 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
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2026-01-11 01:59:56,770 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 200 frames...
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2026-01-11 02:00:00,183 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.95
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2026-01-11 02:00:00,228 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.95 confirmed at Verifier
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2026-01-11 02:00:00,288 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.98
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2026-01-11 02:00:00,290 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
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2026-01-11 02:00:00,309 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.98 confirmed at Verifier
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2026-01-11 02:00:00,362 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
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2026-01-11 02:00:00,397 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
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2026-01-11 02:00:00,451 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
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2026-01-11 02:00:00,474 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
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2026-01-11 02:00:00,526 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
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2026-01-11 02:00:00,559 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
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2026-01-11 02:00:00,714 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
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2026-01-11 02:00:00,715 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.156s (Slow)
|
||||
2026-01-11 02:00:00,728 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:00:00,779 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.98
|
||||
2026-01-11 02:00:00,795 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:00,822 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.98 confirmed at Verifier
|
||||
2026-01-11 02:00:00,871 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.98
|
||||
2026-01-11 02:00:00,898 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.98 confirmed at Verifier
|
||||
2026-01-11 02:00:00,953 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:00:00,973 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:00:01,059 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.99
|
||||
2026-01-11 02:00:01,119 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.99 confirmed at Verifier
|
||||
2026-01-11 02:00:01,183 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:01,194 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.99
|
||||
2026-01-11 02:00:01,197 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.99 confirmed at Verifier
|
||||
2026-01-11 02:00:01,239 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:00:01,272 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:00:01,478 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.124s (Slow)
|
||||
2026-01-11 02:00:03,769 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 300 frames...
|
||||
2026-01-11 02:00:06,642 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.90
|
||||
2026-01-11 02:00:06,650 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.90 confirmed at Verifier
|
||||
2026-01-11 02:00:06,701 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:07,362 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.84
|
||||
2026-01-11 02:00:07,425 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.84 confirmed at Verifier
|
||||
2026-01-11 02:00:07,482 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:07,756 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.110s (Slow)
|
||||
2026-01-11 02:00:08,038 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:00:08,098 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:00:08,161 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:08,191 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.93
|
||||
2026-01-11 02:00:08,250 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.93 confirmed at Verifier
|
||||
2026-01-11 02:00:08,305 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:08,341 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.95
|
||||
2026-01-11 02:00:08,403 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.95 confirmed at Verifier
|
||||
2026-01-11 02:00:08,460 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:08,480 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.90
|
||||
2026-01-11 02:00:08,560 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.90 confirmed at Verifier
|
||||
2026-01-11 02:00:08,612 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:08,638 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.96
|
||||
2026-01-11 02:00:08,707 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.96 confirmed at Verifier
|
||||
2026-01-11 02:00:08,763 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:08,792 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.94
|
||||
2026-01-11 02:00:08,843 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.94 confirmed at Verifier
|
||||
2026-01-11 02:00:08,905 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:08,921 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.91
|
||||
2026-01-11 02:00:08,925 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.91 confirmed at Verifier
|
||||
2026-01-11 02:00:09,126 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.89
|
||||
2026-01-11 02:00:09,169 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.89 confirmed at Verifier
|
||||
2026-01-11 02:00:09,223 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:09,468 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.96
|
||||
2026-01-11 02:00:09,471 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.96 confirmed at Verifier
|
||||
2026-01-11 02:00:09,530 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071588 extended due to new detection.
|
||||
2026-01-11 02:00:09,659 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.104s (Slow)
|
||||
2026-01-11 02:00:10,124 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.123s (Slow)
|
||||
2026-01-11 02:00:11,328 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 400 frames...
|
||||
2026-01-11 02:00:14,426 | INFO | MainThread | pipeline.outputs._stop_event:131 - Finished recording event 1768071588
|
||||
2026-01-11 02:00:15,329 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 500 frames...
|
||||
2026-01-11 02:00:15,824 | INFO | MainThread | pipeline.sources.stream:49 - End of video file reached.
|
||||
2026-01-11 02:00:15,855 | INFO | MainThread | pipeline.core.process_stream:130 - Stream processing finished.
|
||||
2026-01-11 02:00:17,022 | INFO | MainThread | pipeline.outputs.close:318 - VideoFileStore closed.
|
||||
2026-01-11 02:00:17,022 | INFO | MainThread | pipeline.outputs.close:137 - SmartEventSink closed.
|
||||
2026-01-11 02:02:42,895 | INFO | MainThread | main.main:97 - Loading models... Person: models/human-det-best.pt, Cig: models/cig-det-best.pt, Verifier: models/cig-cls-best.pt
|
||||
2026-01-11 02:02:42,895 | INFO | MainThread | pipeline.models.__init__:22 - Loading Person Detector: models/human-det-best.pt
|
||||
2026-01-11 02:02:42,924 | INFO | MainThread | pipeline.models.__init__:49 - Loading Cigarette Detector: models/cig-det-best.pt
|
||||
2026-01-11 02:02:42,964 | INFO | MainThread | pipeline.models.__init__:77 - Loading Smoking Classifier: models/cig-cls-best.pt
|
||||
2026-01-11 02:02:43,140 | INFO | MainThread | pipeline.outputs.__init__:204 - Initialized Async VideoFileStore writing to output.mp4
|
||||
2026-01-11 02:02:43,141 | INFO | MainThread | pipeline.outputs.__init__:49 - Initialized SmartEventSink in events
|
||||
2026-01-11 02:02:43,142 | INFO | MainThread | pipeline.outputs.__init__:149 - Initialized FileAlertStore writing to alerts.jsonl
|
||||
2026-01-11 02:02:43,142 | INFO | MainThread | pipeline.core.__init__:52 - Pipeline initialized with 3 sinks. Async Inference enabled.
|
||||
2026-01-11 02:02:43,142 | INFO | MainThread | pipeline.core.process_stream:58 - Starting stream processing...
|
||||
2026-01-11 02:02:43,142 | INFO | MainThread | pipeline.sources.stream:43 - Opening video file: .\Group_project_smoking_detection\img\vecteezy_man-lights-a-cigarette-and-smokes-it_2657337.mov
|
||||
2026-01-11 02:02:44,358 | INFO | MainThread | pipeline.core.process_stream:81 - Frame 45: Activity detected! Switching to ACTIVE mode (0s interval).
|
||||
2026-01-11 02:02:44,490 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.132s (Slow)
|
||||
2026-01-11 02:02:44,601 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.102s (Slow)
|
||||
2026-01-11 02:02:45,734 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 100 frames...
|
||||
2026-01-11 02:02:46,756 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.132s (Slow)
|
||||
2026-01-11 02:02:46,925 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.121s (Slow)
|
||||
2026-01-11 02:02:47,748 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.86
|
||||
2026-01-11 02:02:47,800 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.86 confirmed at Verifier
|
||||
2026-01-11 02:02:50,001 | INFO | MainThread | pipeline.outputs._trigger_event:97 - Started recording event 1768071767
|
||||
2026-01-11 02:02:53,377 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.81
|
||||
2026-01-11 02:02:53,415 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.81 confirmed at Verifier
|
||||
2026-01-11 02:02:53,470 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:54,478 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 200 frames...
|
||||
2026-01-11 02:02:57,925 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.95
|
||||
2026-01-11 02:02:57,995 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.95 confirmed at Verifier
|
||||
2026-01-11 02:02:58,062 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:58,125 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:02:58,126 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.131s (Slow)
|
||||
2026-01-11 02:02:58,181 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:02:58,250 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:58,306 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:02:58,306 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.126s (Slow)
|
||||
2026-01-11 02:02:58,345 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:02:58,395 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:58,509 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.99
|
||||
2026-01-11 02:02:58,510 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.165s (Slow)
|
||||
2026-01-11 02:02:58,577 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.99 confirmed at Verifier
|
||||
2026-01-11 02:02:58,637 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:58,688 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:02:58,689 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.112s (Slow)
|
||||
2026-01-11 02:02:58,743 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:02:58,805 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:58,848 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:02:58,848 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.105s (Slow)
|
||||
2026-01-11 02:02:58,900 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:02:58,950 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:59,000 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:02:59,000 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:02:59,056 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:02:59,114 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:02:59,221 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.165s (Slow)
|
||||
2026-01-11 02:02:59,540 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:02:59,855 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.115s (Slow)
|
||||
2026-01-11 02:03:00,007 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.107s (Slow)
|
||||
2026-01-11 02:03:00,171 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.110s (Slow)
|
||||
2026-01-11 02:03:01,059 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.110s (Slow)
|
||||
2026-01-11 02:03:01,221 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.104s (Slow)
|
||||
2026-01-11 02:03:01,507 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 300 frames...
|
||||
2026-01-11 02:03:01,535 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:03:01,847 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.103s (Slow)
|
||||
2026-01-11 02:03:02,564 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:03:02,735 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.112s (Slow)
|
||||
2026-01-11 02:03:02,892 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.113s (Slow)
|
||||
2026-01-11 02:03:03,040 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.109s (Slow)
|
||||
2026-01-11 02:03:03,176 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:03:03,696 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:03:04,022 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.107s (Slow)
|
||||
2026-01-11 02:03:04,461 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.90
|
||||
2026-01-11 02:03:04,462 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.110s (Slow)
|
||||
2026-01-11 02:03:04,511 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.90 confirmed at Verifier
|
||||
2026-01-11 02:03:04,569 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:04,614 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.103s (Slow)
|
||||
2026-01-11 02:03:04,778 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:03:04,932 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.106s (Slow)
|
||||
2026-01-11 02:03:05,087 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.104s (Slow)
|
||||
2026-01-11 02:03:05,519 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.102s (Slow)
|
||||
2026-01-11 02:03:05,820 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:03:05,820 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.114s (Slow)
|
||||
2026-01-11 02:03:05,867 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:03:05,922 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:06,022 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.93
|
||||
2026-01-11 02:03:06,022 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.155s (Slow)
|
||||
2026-01-11 02:03:06,080 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.93 confirmed at Verifier
|
||||
2026-01-11 02:03:06,136 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:06,211 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.89
|
||||
2026-01-11 02:03:06,211 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:190 - Inference took 0.132s (Slow)
|
||||
2026-01-11 02:03:06,249 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.89 confirmed at Verifier
|
||||
2026-01-11 02:03:06,304 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:06,343 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:03:06,393 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:03:06,442 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.93
|
||||
2026-01-11 02:03:06,459 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:06,477 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.93 confirmed at Verifier
|
||||
2026-01-11 02:03:06,566 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.94
|
||||
2026-01-11 02:03:06,623 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.94 confirmed at Verifier
|
||||
2026-01-11 02:03:06,687 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:06,714 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.91
|
||||
2026-01-11 02:03:06,779 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.91 confirmed at Verifier
|
||||
2026-01-11 02:03:06,835 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:07,160 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:165 - CONFIRMED SMOKING! Score: 0.87
|
||||
2026-01-11 02:03:07,212 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.87 confirmed at Verifier
|
||||
2026-01-11 02:03:07,271 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768071767 extended due to new detection.
|
||||
2026-01-11 02:03:08,923 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 400 frames...
|
||||
2026-01-11 02:03:11,810 | INFO | MainThread | pipeline.outputs._stop_event:131 - Finished recording event 1768071767
|
||||
2026-01-11 02:03:12,699 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 500 frames...
|
||||
2026-01-11 02:03:12,862 | INFO | MainThread | pipeline.sources.stream:49 - End of video file reached.
|
||||
2026-01-11 02:03:12,895 | INFO | MainThread | pipeline.core.process_stream:130 - Stream processing finished.
|
||||
2026-01-11 02:03:14,287 | INFO | MainThread | pipeline.outputs.close:318 - VideoFileStore closed.
|
||||
2026-01-11 02:03:14,287 | INFO | MainThread | pipeline.outputs.close:137 - SmartEventSink closed.
|
||||
2026-01-11 02:10:20,713 | INFO | MainThread | main.main:97 - Loading models... Person: models/human-det-best.pt, Cig: models/cig-det-best.pt, Verifier: models/cig-cls-best.pt
|
||||
2026-01-11 02:10:20,713 | INFO | MainThread | pipeline.models.__init__:22 - Loading Person Detector: models/human-det-best.pt
|
||||
2026-01-11 02:10:20,744 | INFO | MainThread | pipeline.models.__init__:49 - Loading Cigarette Detector: models/cig-det-best.pt
|
||||
2026-01-11 02:10:20,785 | INFO | MainThread | pipeline.models.__init__:77 - Loading Smoking Classifier: models/cig-cls-best.pt
|
||||
2026-01-11 02:10:20,964 | INFO | MainThread | pipeline.outputs.__init__:204 - Initialized Async VideoFileStore writing to output.mp4
|
||||
2026-01-11 02:10:20,966 | INFO | MainThread | pipeline.outputs.__init__:49 - Initialized SmartEventSink in events
|
||||
2026-01-11 02:10:20,966 | INFO | MainThread | pipeline.outputs.__init__:149 - Initialized FileAlertStore writing to alerts.jsonl
|
||||
2026-01-11 02:10:20,966 | INFO | MainThread | pipeline.core.__init__:52 - Pipeline initialized with 3 sinks. Async Inference enabled.
|
||||
2026-01-11 02:10:20,967 | INFO | MainThread | pipeline.core.process_stream:58 - Starting stream processing...
|
||||
2026-01-11 02:10:20,967 | INFO | MainThread | pipeline.sources.stream:43 - Opening video file: .\Group_project_smoking_detection\img\vecteezy_man-lights-a-cigarette-and-smokes-it_2657337.mov
|
||||
2026-01-11 02:10:22,182 | INFO | MainThread | pipeline.core.process_stream:81 - Frame 42: Activity detected! Switching to ACTIVE mode (0s interval).
|
||||
2026-01-11 02:10:22,304 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.121s (Slow)
|
||||
2026-01-11 02:10:22,414 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.101s (Slow)
|
||||
2026-01-11 02:10:23,648 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 100 frames...
|
||||
2026-01-11 02:10:24,659 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.134s (Slow)
|
||||
2026-01-11 02:10:24,834 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.138s (Slow)
|
||||
2026-01-11 02:10:25,650 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.86
|
||||
2026-01-11 02:10:25,720 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.86 confirmed at Verifier
|
||||
2026-01-11 02:10:27,899 | INFO | MainThread | pipeline.outputs._trigger_event:97 - Started recording event 1768072225
|
||||
2026-01-11 02:10:31,119 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.81
|
||||
2026-01-11 02:10:31,158 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.81 confirmed at Verifier
|
||||
2026-01-11 02:10:31,208 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:32,228 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 200 frames...
|
||||
2026-01-11 02:10:35,482 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.95
|
||||
2026-01-11 02:10:35,505 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.95 confirmed at Verifier
|
||||
2026-01-11 02:10:35,562 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:35,587 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.98
|
||||
2026-01-11 02:10:35,654 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.98 confirmed at Verifier
|
||||
2026-01-11 02:10:35,714 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:35,736 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:10:35,809 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:10:35,868 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:35,967 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:10:35,967 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.159s (Slow)
|
||||
2026-01-11 02:10:36,030 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:10:36,092 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:36,099 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.98
|
||||
2026-01-11 02:10:36,112 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.98 confirmed at Verifier
|
||||
2026-01-11 02:10:36,193 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:10:36,255 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:10:36,324 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:36,346 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 1.00
|
||||
2026-01-11 02:10:36,411 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 1.00 confirmed at Verifier
|
||||
2026-01-11 02:10:36,473 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:36,485 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:10:36,496 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:10:36,760 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.119s (Slow)
|
||||
2026-01-11 02:10:37,426 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.107s (Slow)
|
||||
2026-01-11 02:10:37,598 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.113s (Slow)
|
||||
2026-01-11 02:10:38,341 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.104s (Slow)
|
||||
2026-01-11 02:10:38,985 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 300 frames...
|
||||
2026-01-11 02:10:40,039 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.105s (Slow)
|
||||
2026-01-11 02:10:41,778 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.90
|
||||
2026-01-11 02:10:41,832 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.90 confirmed at Verifier
|
||||
2026-01-11 02:10:41,893 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:42,087 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.105s (Slow)
|
||||
2026-01-11 02:10:42,242 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.112s (Slow)
|
||||
2026-01-11 02:10:42,407 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.109s (Slow)
|
||||
2026-01-11 02:10:42,530 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.100s (Slow)
|
||||
2026-01-11 02:10:42,845 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.107s (Slow)
|
||||
2026-01-11 02:10:43,152 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.97
|
||||
2026-01-11 02:10:43,152 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.123s (Slow)
|
||||
2026-01-11 02:10:43,198 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.97 confirmed at Verifier
|
||||
2026-01-11 02:10:43,262 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:43,345 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.93
|
||||
2026-01-11 02:10:43,345 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.148s (Slow)
|
||||
2026-01-11 02:10:43,382 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.93 confirmed at Verifier
|
||||
2026-01-11 02:10:43,445 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:43,475 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.95
|
||||
2026-01-11 02:10:43,545 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.95 confirmed at Verifier
|
||||
2026-01-11 02:10:43,594 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:43,630 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.90
|
||||
2026-01-11 02:10:43,679 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.90 confirmed at Verifier
|
||||
2026-01-11 02:10:43,743 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:43,766 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.96
|
||||
2026-01-11 02:10:43,837 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.96 confirmed at Verifier
|
||||
2026-01-11 02:10:43,900 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:43,982 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.94
|
||||
2026-01-11 02:10:43,982 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.146s (Slow)
|
||||
2026-01-11 02:10:44,016 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.94 confirmed at Verifier
|
||||
2026-01-11 02:10:44,074 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:44,124 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.91
|
||||
2026-01-11 02:10:44,124 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.109s (Slow)
|
||||
2026-01-11 02:10:44,172 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.91 confirmed at Verifier
|
||||
2026-01-11 02:10:44,233 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:44,279 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.107s (Slow)
|
||||
2026-01-11 02:10:44,501 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.107s (Slow)
|
||||
2026-01-11 02:10:44,650 | INFO | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:168 - CONFIRMED SMOKING! Score: 0.96
|
||||
2026-01-11 02:10:44,651 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.105s (Slow)
|
||||
2026-01-11 02:10:44,714 | INFO | MainThread | pipeline.outputs.handle:168 - [ALERT SAVED] 0.96 confirmed at Verifier
|
||||
2026-01-11 02:10:44,764 | DEBUG | MainThread | pipeline.outputs.handle:68 - Event 1768072225 extended due to new detection.
|
||||
2026-01-11 02:10:44,827 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.113s (Slow)
|
||||
2026-01-11 02:10:45,119 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.100s (Slow)
|
||||
2026-01-11 02:10:45,282 | DEBUG | ThreadPoolExecutor-0_0 | pipeline.core._run_inference:193 - Inference took 0.110s (Slow)
|
||||
2026-01-11 02:10:46,315 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 400 frames...
|
||||
2026-01-11 02:10:49,179 | INFO | MainThread | pipeline.outputs._stop_event:131 - Finished recording event 1768072225
|
||||
2026-01-11 02:10:50,041 | INFO | MainThread | pipeline.core.process_stream:64 - Processed 500 frames...
|
||||
2026-01-11 02:10:50,214 | INFO | MainThread | pipeline.sources.stream:49 - End of video file reached.
|
||||
2026-01-11 02:10:50,252 | INFO | MainThread | pipeline.core.process_stream:133 - Stream processing finished.
|
||||
2026-01-11 02:10:51,666 | INFO | MainThread | pipeline.outputs.close:318 - VideoFileStore closed.
|
||||
2026-01-11 02:10:51,667 | INFO | MainThread | pipeline.outputs.close:137 - SmartEventSink closed.
|
||||
@@ -1,21 +1,60 @@
|
||||
import argparse
|
||||
import logging
|
||||
import logging.handlers
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from pipeline.core import SmokingDetectionPipeline
|
||||
from pipeline.models import YoloCigaretteDetector, YoloClassifier, YoloPersonDetector
|
||||
from pipeline.outputs import FileAlertStore, VideoFileStore
|
||||
from pipeline.outputs import FileAlertStore, SmartEventSink, VideoFileStore
|
||||
from pipeline.sources import FileStreamSource, ThreadedRTSPSource
|
||||
|
||||
|
||||
def main():
|
||||
# Configure logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
|
||||
handlers=[logging.StreamHandler(sys.stdout)],
|
||||
def setup_logging(debug: bool = False):
|
||||
"""Configures application-wide logging with console and file handlers."""
|
||||
root_log = logging.getLogger()
|
||||
root_log.setLevel(logging.DEBUG if debug else logging.INFO)
|
||||
|
||||
# Remove existing handlers to avoid duplicates if called multiple times
|
||||
root_log.handlers = []
|
||||
|
||||
# Formatters
|
||||
# Console: Concise and colorful (if possible, but using standard plain text for compatibility)
|
||||
console_format = logging.Formatter(
|
||||
fmt="%(asctime)s [%(levelname)s] %(name)s: %(message)s", datefmt="%H:%M:%S"
|
||||
)
|
||||
|
||||
# File: Detailed debugging info
|
||||
file_format = logging.Formatter(
|
||||
fmt="%(asctime)s | %(levelname)-8s | %(threadName)s | %(name)s.%(funcName)s:%(lineno)d - %(message)s"
|
||||
)
|
||||
|
||||
# 1. Console Handler (stdout)
|
||||
console_handler = logging.StreamHandler(sys.stdout)
|
||||
console_handler.setFormatter(console_format)
|
||||
# console_handler.setLevel(logging.INFO) # Console can show less if needed, but linking to root level is simpler
|
||||
|
||||
# 2. File Handler (Rotating)
|
||||
log_dir = Path("logs")
|
||||
log_dir.mkdir(exist_ok=True)
|
||||
file_handler = logging.handlers.RotatingFileHandler(
|
||||
filename=log_dir / "pipeline.log",
|
||||
maxBytes=10 * 1024 * 1024, # 10MB
|
||||
backupCount=5,
|
||||
encoding="utf-8",
|
||||
)
|
||||
file_handler.setFormatter(file_format)
|
||||
file_handler.setLevel(logging.DEBUG) # Always log detailed debug to file
|
||||
|
||||
root_log.addHandler(console_handler)
|
||||
root_log.addHandler(file_handler)
|
||||
|
||||
# Suppress chatty libraries if needed
|
||||
logging.getLogger("ultralytics").setLevel(logging.WARNING)
|
||||
logging.getLogger("matplotlib").setLevel(logging.WARNING)
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Smoking Detection Pipeline")
|
||||
parser.add_argument("--source", type=str, help="Path to video file or RTSP stream")
|
||||
parser.add_argument("--rtsp", action="store_true", help="Flag if source is RTSP")
|
||||
@@ -47,23 +86,37 @@ def main():
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# Setup Logging immediately after parsing args
|
||||
setup_logging(args.debug)
|
||||
logger = logging.getLogger("main")
|
||||
|
||||
if not args.source:
|
||||
print("Please provide --source")
|
||||
logger.error("Please provide --source")
|
||||
sys.exit(1)
|
||||
|
||||
print(
|
||||
logger.info(
|
||||
f"Loading models... Person: {args.person_model}, Cig: {args.cig_model}, Verifier: {args.verify_model}"
|
||||
)
|
||||
if args.debug:
|
||||
logging.getLogger().setLevel(logging.DEBUG)
|
||||
|
||||
# Initialize implementation-specific classes
|
||||
person_model = YoloPersonDetector(args.person_model)
|
||||
cigarette_model = YoloCigaretteDetector(args.cig_model)
|
||||
verifier = YoloClassifier(args.verify_model)
|
||||
|
||||
# Initialize Source first to get FPS
|
||||
if args.rtsp:
|
||||
# Use background thread for RTSP to prevent frame drop issues / lag
|
||||
source = ThreadedRTSPSource(args.source)
|
||||
else:
|
||||
# Simple file reader
|
||||
source = FileStreamSource(args.source)
|
||||
|
||||
# Initialize Output Sink
|
||||
video_sink = VideoFileStore(args.output)
|
||||
# Pass FPS from source so output video plays at correct speed
|
||||
video_sink = VideoFileStore(args.output, fps=int(source.fps))
|
||||
|
||||
# Initialize Smart Sink (Optional, writes small clips only when smoking is detected)
|
||||
smart_sink = SmartEventSink("events", fps=source.fps)
|
||||
|
||||
# Initialize Alert Store
|
||||
# This persists confirmed smoking events to a dedicated log file
|
||||
@@ -74,27 +127,31 @@ def main():
|
||||
cigarette_model=cigarette_model,
|
||||
verifier_model=verifier,
|
||||
vlm_model=None, # Optional
|
||||
sinks=[video_sink, alert_store],
|
||||
inference_interval=0,
|
||||
sinks=[video_sink, alert_store, smart_sink],
|
||||
inference_interval=0.5, # Slow mode (2 FPS) when nobody is home
|
||||
active_interval=0.0, # Max speed when person detected
|
||||
cooldown_frames=int(
|
||||
source.fps * 2
|
||||
), # Stay active for 2 seconds after person leaves
|
||||
)
|
||||
|
||||
if args.rtsp:
|
||||
# Use background thread for RTSP to prevent frame drop issues / lag
|
||||
source = ThreadedRTSPSource(args.source)
|
||||
else:
|
||||
# Simple file reader
|
||||
source = FileStreamSource(args.source)
|
||||
|
||||
print("Starting pipeline...")
|
||||
try:
|
||||
# Pass the already initialized source
|
||||
pipeline.process_stream(source)
|
||||
except KeyboardInterrupt:
|
||||
print("Stopped by user.")
|
||||
finally:
|
||||
if args.rtsp and hasattr(source, "stop"):
|
||||
source.stop() # pyright: ignore[reportAttributeAccessIssue]
|
||||
source.stop() # pyright: ignore[reportAttributeAccessIssue]
|
||||
|
||||
# Explicitly close all sinks
|
||||
if video_sink:
|
||||
video_sink.close()
|
||||
if smart_sink:
|
||||
smart_sink.close()
|
||||
if alert_store:
|
||||
alert_store.close()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
LFS
BIN
Binary file not shown.
LFS
BIN
Binary file not shown.
+129
-20
@@ -1,9 +1,12 @@
|
||||
import concurrent.futures
|
||||
import logging
|
||||
import time
|
||||
from collections import deque
|
||||
from concurrent.futures import Future
|
||||
from typing import List, Optional, Tuple
|
||||
|
||||
from pipeline.protocols import Model, Sink, StreamSource, Verifier
|
||||
from pipeline.types import BoundingBox, Detection, Frame, Ticket
|
||||
from pipeline.types import BoundingBox, Detection, Frame, Ticket, nms_by_class
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -17,73 +20,179 @@ class SmokingDetectionPipeline:
|
||||
vlm_model: Optional[Verifier] = None,
|
||||
sinks: Optional[list[Sink]] = None,
|
||||
inference_interval: float = 0.5,
|
||||
active_interval: float = 0.0,
|
||||
cooldown_frames: int = 60,
|
||||
):
|
||||
self.person_model = person_model
|
||||
self.cigarette_model = cigarette_model
|
||||
self.verifier_model = verifier_model
|
||||
self.vlm_model = vlm_model
|
||||
self.sinks = sinks or []
|
||||
self.inference_interval = inference_interval
|
||||
|
||||
# Adaptive Sampling Settings
|
||||
self.idle_interval = inference_interval
|
||||
self.active_interval = active_interval
|
||||
self.cooldown_frames = cooldown_frames
|
||||
|
||||
# State
|
||||
self.current_interval = self.idle_interval
|
||||
self.active_cooldown = 0
|
||||
self.last_inference_time = 0.0
|
||||
|
||||
# Async Inference State
|
||||
self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
|
||||
self.current_future: Optional[Future] = None
|
||||
self.latest_detections: List[
|
||||
Detection
|
||||
] = [] # Cache for display to prevent flickering
|
||||
self.latest_ticket: Optional[Ticket] = None
|
||||
|
||||
# Buffer for temporal context (optional, for VLM or sequence logic)
|
||||
self.frame_buffer = deque(maxlen=30)
|
||||
logger.info(f"Pipeline initialized with {len(self.sinks)} sinks.")
|
||||
logger.info(
|
||||
f"Pipeline initialized with {len(self.sinks)} sinks. Async Inference enabled."
|
||||
)
|
||||
|
||||
def process_stream(self, source: StreamSource):
|
||||
"""Main loop processing the video stream."""
|
||||
logger.info("Starting stream processing...")
|
||||
# Batch processing strategy:
|
||||
# Instead of strict batches, we process frame-by-frame but can look back
|
||||
count = 0
|
||||
|
||||
for frame in source.stream():
|
||||
count += 1
|
||||
if count % 100 == 0:
|
||||
logger.info(f"Processed {count} frames...")
|
||||
self.frame_buffer.append(frame)
|
||||
|
||||
# Skip inference if too soon
|
||||
if (frame.timestamp - self.last_inference_time) >= self.inference_interval:
|
||||
self._process_frame(frame)
|
||||
self.last_inference_time = frame.timestamp
|
||||
# 1. Check if previous inference finished
|
||||
if self.current_future and self.current_future.done():
|
||||
try:
|
||||
# Retrieve results from the finished job
|
||||
has_activity, detections, ticket = self.current_future.result()
|
||||
|
||||
# Update Cache
|
||||
self.latest_detections = detections
|
||||
self.latest_ticket = ticket
|
||||
self.current_future = None
|
||||
|
||||
# Adaptive Logic Update
|
||||
if has_activity:
|
||||
if self.current_interval != self.active_interval:
|
||||
logger.info(
|
||||
"Frame %s: Activity detected! Switching to ACTIVE mode (0s interval).",
|
||||
frame.frame_id,
|
||||
)
|
||||
self.current_interval = self.active_interval
|
||||
self.active_cooldown = self.cooldown_frames
|
||||
elif self.active_cooldown > 0:
|
||||
if self.active_cooldown % 30 == 0:
|
||||
logger.debug(
|
||||
"Cooling down... %s frames left.", self.active_cooldown
|
||||
)
|
||||
self.active_cooldown -= 1
|
||||
else:
|
||||
if self.current_interval != self.idle_interval:
|
||||
logger.info(
|
||||
"Cooldown complete. Switching to IDLE mode (0.5s interval)."
|
||||
)
|
||||
self.current_interval = self.idle_interval
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Inference error: {e}")
|
||||
self.current_future = None
|
||||
|
||||
# 2. Schedule new inference if idle and time condition met
|
||||
now = frame.timestamp
|
||||
time_since_last = now - self.last_inference_time
|
||||
|
||||
if self.current_future is None and time_since_last >= self.current_interval:
|
||||
# Submit 'detect' job. We pass a COPY of data or rely on immutable usage.
|
||||
# Frame.data is numpy, which is mutable but we trust models not to write to it.
|
||||
# Since models might run on GPU/Thread, and we continue, it's safer to not rely on 'frame' object mutation.
|
||||
# We will return the results and apply them later.
|
||||
self.last_inference_time = now
|
||||
self.current_future = self.executor.submit(self._run_inference, frame)
|
||||
|
||||
# 3. Apply cached detections to current frame for visualization
|
||||
# This ensures smooth video output even if inference runs at 10fps
|
||||
frame.detections.extend(self.latest_detections)
|
||||
|
||||
# 4. Run NMS to clean up overlapping boxes before display
|
||||
frame.detections = nms_by_class(frame.detections, iou_threshold=0.5)
|
||||
|
||||
# Ticket dispatch: Only attach to ONE frame, then clear
|
||||
# This prevents duplicate alerts in sinks like FileAlertStore
|
||||
if self.latest_ticket:
|
||||
frame.ticket = self.latest_ticket
|
||||
self.latest_ticket = None # Consume the ticket
|
||||
|
||||
# Update sinks (Visualizers, etc)
|
||||
for sink in self.sinks:
|
||||
sink.handle(frame)
|
||||
|
||||
logger.info("Stream processing finished.")
|
||||
self.executor.shutdown(wait=False)
|
||||
|
||||
def _run_inference(
|
||||
self, frame: Frame
|
||||
) -> Tuple[bool, List[Detection], Optional[Ticket]]:
|
||||
"""
|
||||
Runs the full detection chain.
|
||||
Returns (ActivityDetected, ListOfDetections, TicketOrNone).
|
||||
Does NOT modify frame in place (thread safety).
|
||||
"""
|
||||
t0 = time.time()
|
||||
detections = []
|
||||
|
||||
def _process_frame(self, frame: Frame):
|
||||
# --- Step 1: Broad Phase (Person Detection) ---
|
||||
people = self.person_model.predict(frame.data)
|
||||
frame.detections.extend(people)
|
||||
detections.extend(people)
|
||||
|
||||
if not people:
|
||||
return # FAST EXIT
|
||||
|
||||
logger.debug(f"Frame {frame.frame_id}: Found {len(people)} people.")
|
||||
# logger.debug("No people found.")
|
||||
return False, detections, None
|
||||
|
||||
# --- Step 2: Narrow Phase (Cigarette Candidate) ---
|
||||
candidates = self._find_candidates(frame, people)
|
||||
|
||||
if not candidates:
|
||||
return # EXIT
|
||||
|
||||
logger.debug(f"Frame {frame.frame_id}: Found {len(candidates)} candidates.")
|
||||
return True, detections, None
|
||||
|
||||
# --- Step 3: Verification (Classifier) ---
|
||||
best_hit = self._verify_candidates(frame, candidates)
|
||||
|
||||
ticket = None
|
||||
# --- Step 4: Action ---
|
||||
if best_hit:
|
||||
person, cig, score = best_hit
|
||||
logger.info("CONFIRMED SMOKING! Score: %.2f", score)
|
||||
ticket = Ticket(
|
||||
frame_id=frame.frame_id,
|
||||
confidence=score,
|
||||
evidence=[frame.data],
|
||||
stage_confirmed="Verifier", # Simplified for now
|
||||
evidence=[frame.data], # Note: this keeps ref to image data
|
||||
stage_confirmed="Verifier",
|
||||
)
|
||||
frame.ticket = ticket
|
||||
|
||||
# Add the verified box to detections for visualization
|
||||
verified_det = Detection(
|
||||
box=BoundingBox(
|
||||
x1=person.box.x1
|
||||
+ cig.box.x1, # Approx logic, need exact coords from find_candidates
|
||||
y1=person.box.y1 + cig.box.y1,
|
||||
x2=person.box.x1 + cig.box.x2,
|
||||
y2=person.box.y1 + cig.box.y2,
|
||||
conf=score, # Placeholder
|
||||
),
|
||||
score=score,
|
||||
label="verified_smoking",
|
||||
)
|
||||
detections.append(verified_det)
|
||||
|
||||
dt = time.time() - t0
|
||||
if dt > 0.1:
|
||||
logger.debug("Inference took %.3fs (Slow)", dt)
|
||||
|
||||
return True, detections, ticket
|
||||
|
||||
def _find_candidates(
|
||||
self, frame: Frame, people: List[Detection]
|
||||
|
||||
+171
-6
@@ -1,16 +1,142 @@
|
||||
import collections
|
||||
import json
|
||||
import logging
|
||||
import threading
|
||||
import time
|
||||
from pathlib import Path
|
||||
from typing import List, Optional
|
||||
from queue import Empty, Queue
|
||||
from typing import Deque, List, Optional
|
||||
|
||||
import cv2
|
||||
import numpy as np
|
||||
|
||||
from pipeline.protocols import Sink
|
||||
from pipeline.types import Detection, Frame
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class SmartEventSink(Sink):
|
||||
"""
|
||||
Smart Event Sink:
|
||||
- Maintains a ring buffer of recent frames (e.g., 2 seconds context).
|
||||
- When an alert (Ticket) occurs, it triggers a 'recording' state.
|
||||
- Captures pre-event context + event + post-event context.
|
||||
- Saves these 'events' as separate video clips or sequences.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
output_dir: str,
|
||||
fps: float = 30.0,
|
||||
pre_event_seconds=2,
|
||||
post_event_seconds=3,
|
||||
):
|
||||
self.output_dir = Path(output_dir)
|
||||
self.output_dir.mkdir(parents=True, exist_ok=True)
|
||||
self.fps = fps
|
||||
self.buffer_size = int(fps * pre_event_seconds)
|
||||
self.post_event_frames = int(fps * post_event_seconds)
|
||||
|
||||
self.buffer: Deque[Frame] = collections.deque(maxlen=self.buffer_size)
|
||||
|
||||
# State
|
||||
self.recording = False
|
||||
self.remaining_post_frames = 0
|
||||
self.current_event_writer: Optional[cv2.VideoWriter] = None
|
||||
self.current_event_id = None
|
||||
|
||||
logger.info(f"Initialized SmartEventSink in {output_dir}")
|
||||
|
||||
def handle(self, frame: Frame):
|
||||
# Always add to buffer if not recording to keep context
|
||||
if not self.recording:
|
||||
self.buffer.append(frame)
|
||||
|
||||
# Check for trigger
|
||||
if frame.ticket:
|
||||
self._trigger_event(frame)
|
||||
|
||||
# If recording, write frame
|
||||
if self.recording:
|
||||
self._write_to_event(frame)
|
||||
|
||||
# Decrement counter
|
||||
# If we keep getting tickets, we keep updating the counter (extending recording)
|
||||
if frame.ticket:
|
||||
if self.remaining_post_frames != self.post_event_frames:
|
||||
logger.debug(
|
||||
"Event %s extended due to new detection.", self.current_event_id
|
||||
)
|
||||
self.remaining_post_frames = self.post_event_frames
|
||||
else:
|
||||
self.remaining_post_frames -= 1
|
||||
|
||||
if self.remaining_post_frames <= 0:
|
||||
self._stop_event()
|
||||
|
||||
def _trigger_event(self, trigger_frame: Frame):
|
||||
if not self.recording:
|
||||
# Start new event
|
||||
self.recording = True
|
||||
self.current_event_id = int(time.time())
|
||||
self.remaining_post_frames = self.post_event_frames
|
||||
|
||||
filename = self.output_dir / f"event_{self.current_event_id}.mp4"
|
||||
h, w = trigger_frame.data.shape[:2]
|
||||
|
||||
self.current_event_writer = cv2.VideoWriter(
|
||||
str(filename), cv2.VideoWriter.fourcc(*"mp4v"), self.fps, (w, h)
|
||||
)
|
||||
|
||||
# Dump buffer (Pre-event context)
|
||||
while self.buffer:
|
||||
f = self.buffer.popleft()
|
||||
self._write_to_event(f)
|
||||
|
||||
logger.info("Started recording event %s", self.current_event_id)
|
||||
|
||||
def _write_to_event(self, frame: Frame):
|
||||
if self.current_event_writer:
|
||||
# Draw simple visualization for the clip
|
||||
vis = frame.data.copy()
|
||||
if frame.ticket:
|
||||
cv2.rectangle(vis, (0, 0), (vis.shape[1], 40), (0, 0, 255), -1)
|
||||
cv2.putText(
|
||||
vis,
|
||||
"SMOKING DETECTED",
|
||||
(10, 30),
|
||||
cv2.FONT_HERSHEY_SIMPLEX,
|
||||
1,
|
||||
(255, 255, 255),
|
||||
2,
|
||||
)
|
||||
|
||||
for det in frame.detections:
|
||||
cv2.rectangle(
|
||||
vis,
|
||||
(det.box.x1, det.box.y1),
|
||||
(det.box.x2, det.box.y2),
|
||||
(255, 0, 0),
|
||||
2,
|
||||
)
|
||||
|
||||
self.current_event_writer.write(vis)
|
||||
|
||||
def _stop_event(self):
|
||||
self.recording = False
|
||||
if self.current_event_writer:
|
||||
self.current_event_writer.release()
|
||||
self.current_event_writer = None
|
||||
logger.info("Finished recording event %s", self.current_event_id)
|
||||
|
||||
def close(self):
|
||||
"""Releases resources and stops any active recording."""
|
||||
if self.recording:
|
||||
self._stop_event()
|
||||
logger.info("SmartEventSink closed.")
|
||||
|
||||
|
||||
class FileAlertStore:
|
||||
"""
|
||||
Persists actionable alerts (Tickets) to a JSONL file.
|
||||
@@ -51,9 +177,16 @@ class VideoFileStore:
|
||||
"""
|
||||
Writes processed frames to a video file with visualization overlays.
|
||||
Also optionally writes metadata sidecar files.
|
||||
Async implementation to prevent blocking the main pipeline.
|
||||
"""
|
||||
|
||||
def __init__(self, output_path: str, fps: int = 30, fourcc: str = "mp4v"):
|
||||
def __init__(
|
||||
self,
|
||||
output_path: str,
|
||||
fps: float = 30.0,
|
||||
fourcc: str = "mp4v",
|
||||
queue_size: int = 60,
|
||||
):
|
||||
self.output_path = output_path
|
||||
self.metadata_path = str(Path(output_path).with_suffix(".jsonl"))
|
||||
self.fps = fps
|
||||
@@ -61,14 +194,42 @@ class VideoFileStore:
|
||||
self.writer: Optional[cv2.VideoWriter] = None
|
||||
self.frame_size = None
|
||||
|
||||
# Async setup
|
||||
self.queue = Queue(maxsize=queue_size)
|
||||
self.running = True
|
||||
self.thread = threading.Thread(target=self._writer_loop, daemon=True)
|
||||
|
||||
# Open metadata file
|
||||
self.meta_file = open(self.metadata_path, "w")
|
||||
logger.info(
|
||||
f"Initialized VideoFileStore writing to {output_path} and {self.metadata_path}"
|
||||
)
|
||||
logger.info(f"Initialized Async VideoFileStore writing to {output_path}")
|
||||
self.thread.start()
|
||||
|
||||
def handle(self, frame: Frame):
|
||||
"""Process a frame: Draw boxes and write to video/log."""
|
||||
"""Enqueue frame for processing."""
|
||||
if not self.running:
|
||||
return
|
||||
|
||||
# We BLOCK here if queue is full to guarantee no frames are dropped.
|
||||
# This may cause the main loop to slow down, but output integrity > speed.
|
||||
# The queue size (30 frames ~1 second) provides a buffer for burst writes.
|
||||
self.queue.put(frame, block=True)
|
||||
|
||||
def _writer_loop(self):
|
||||
while self.running or not self.queue.empty():
|
||||
try:
|
||||
frame = self.queue.get(timeout=1.0)
|
||||
except Empty:
|
||||
continue
|
||||
|
||||
try:
|
||||
self._process_frame(frame)
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing video output: {e}")
|
||||
finally:
|
||||
self.queue.task_done()
|
||||
|
||||
def _process_frame(self, frame: Frame):
|
||||
# Heavy lifting happens here in the thread
|
||||
vis_image = frame.data.copy()
|
||||
|
||||
# 1. Visualization
|
||||
@@ -146,6 +307,10 @@ class VideoFileStore:
|
||||
self.meta_file.flush()
|
||||
|
||||
def close(self):
|
||||
self.running = False
|
||||
if self.thread.is_alive():
|
||||
self.thread.join(timeout=2.0)
|
||||
|
||||
if self.writer:
|
||||
self.writer.release()
|
||||
if self.meta_file:
|
||||
|
||||
@@ -16,6 +16,11 @@ class Verifier(Protocol):
|
||||
|
||||
|
||||
class StreamSource(Protocol):
|
||||
@property
|
||||
def fps(self) -> float:
|
||||
"""Return the frames per second of the source."""
|
||||
...
|
||||
|
||||
def stream(self) -> Iterator[Frame]:
|
||||
"""Yield frames from source."""
|
||||
...
|
||||
@@ -25,3 +30,7 @@ class Sink(Protocol):
|
||||
def handle(self, frame: Frame):
|
||||
"""Process or persist a frame (and its ticket/detections)."""
|
||||
...
|
||||
|
||||
def close(self):
|
||||
"""Clean up resources."""
|
||||
...
|
||||
@@ -15,6 +15,21 @@ logger = logging.getLogger(__name__)
|
||||
class FileStreamSource(StreamSource):
|
||||
def __init__(self, path: str):
|
||||
self.path = path
|
||||
self._fps = 30.0
|
||||
|
||||
# Probe for FPS if it's a single file
|
||||
if "*" not in self.path:
|
||||
try:
|
||||
cap = cv2.VideoCapture(self.path)
|
||||
if cap.isOpened():
|
||||
self._fps = cap.get(cv2.CAP_PROP_FPS) or 30.0
|
||||
cap.release()
|
||||
except Exception as e:
|
||||
logger.warning(f"Could not probe FPS from {path}: {e}")
|
||||
|
||||
@property
|
||||
def fps(self) -> float:
|
||||
return self._fps
|
||||
|
||||
def stream(self) -> Iterator[Frame]:
|
||||
# Handle glob patterns if path is a directory
|
||||
@@ -48,11 +63,26 @@ class ThreadedRTSPSource(StreamSource):
|
||||
def __init__(self, rtsp_url: str, queue_size=5):
|
||||
self.rtsp_url = rtsp_url
|
||||
self.queue = Queue(maxsize=queue_size)
|
||||
self._fps = 30.0
|
||||
|
||||
# Probe FPS (with timeout safety ideally, but simple here)
|
||||
try:
|
||||
cap = cv2.VideoCapture(self.rtsp_url)
|
||||
if cap.isOpened():
|
||||
self._fps = cap.get(cv2.CAP_PROP_FPS) or 30.0
|
||||
cap.release()
|
||||
except Exception:
|
||||
logger.warning("Could not probe FPS from RTSP source.")
|
||||
|
||||
self.stopped = False
|
||||
self.thread = threading.Thread(target=self._update, daemon=True)
|
||||
self._start()
|
||||
logger.info(f"Initialized ThreadedRTSPSource for {rtsp_url}")
|
||||
|
||||
@property
|
||||
def fps(self) -> float:
|
||||
return self._fps
|
||||
|
||||
def _start(self):
|
||||
self.thread.start()
|
||||
|
||||
|
||||
+76
-1
@@ -14,12 +14,31 @@ class BoundingBox:
|
||||
|
||||
@property
|
||||
def area(self):
|
||||
return (self.x2 - self.x1) * (self.y2 - self.y1)
|
||||
return max(0, self.x2 - self.x1) * max(0, self.y2 - self.y1)
|
||||
|
||||
@property
|
||||
def xyxy(self):
|
||||
return [self.x1, self.y1, self.x2, self.y2]
|
||||
|
||||
def iou(self, other: "BoundingBox") -> float:
|
||||
"""Calculate Intersection over Union with another box."""
|
||||
# Intersection
|
||||
ix1 = max(self.x1, other.x1)
|
||||
iy1 = max(self.y1, other.y1)
|
||||
ix2 = min(self.x2, other.x2)
|
||||
iy2 = min(self.y2, other.y2)
|
||||
|
||||
inter_w = max(0, ix2 - ix1)
|
||||
inter_h = max(0, iy2 - iy1)
|
||||
inter_area = inter_w * inter_h
|
||||
|
||||
# Union
|
||||
union_area = self.area + other.area - inter_area
|
||||
|
||||
if union_area == 0:
|
||||
return 0.0
|
||||
return inter_area / union_area
|
||||
|
||||
def crop(self, image: Any) -> Any:
|
||||
# Assuming image is a numpy array (H, W, C)
|
||||
# Handle cases where box is partially out of bounds
|
||||
@@ -39,6 +58,62 @@ class Detection:
|
||||
metadata: dict = field(default_factory=dict)
|
||||
|
||||
|
||||
def nms(detections: List[Detection], iou_threshold: float = 0.5) -> List[Detection]:
|
||||
"""
|
||||
Non-Maximum Suppression: Remove overlapping boxes, keeping the highest confidence ones.
|
||||
|
||||
Args:
|
||||
detections: List of Detection objects
|
||||
iou_threshold: Boxes with IoU > threshold are suppressed
|
||||
|
||||
Returns:
|
||||
Filtered list of detections
|
||||
"""
|
||||
if not detections:
|
||||
return []
|
||||
|
||||
# Sort by confidence (highest first)
|
||||
sorted_dets = sorted(detections, key=lambda d: d.score, reverse=True)
|
||||
|
||||
keep = []
|
||||
while sorted_dets:
|
||||
# Take the best one
|
||||
best = sorted_dets.pop(0)
|
||||
keep.append(best)
|
||||
|
||||
# Filter out boxes that overlap too much with 'best'
|
||||
remaining = []
|
||||
for det in sorted_dets:
|
||||
if best.box.iou(det.box) < iou_threshold:
|
||||
remaining.append(det)
|
||||
sorted_dets = remaining
|
||||
|
||||
return keep
|
||||
|
||||
|
||||
def nms_by_class(
|
||||
detections: List[Detection], iou_threshold: float = 0.5
|
||||
) -> List[Detection]:
|
||||
"""
|
||||
Run NMS separately for each class label.
|
||||
This prevents boxes of different classes from suppressing each other.
|
||||
"""
|
||||
if not detections:
|
||||
return []
|
||||
|
||||
# Group by label
|
||||
by_label: dict[str, List[Detection]] = {}
|
||||
for det in detections:
|
||||
by_label.setdefault(det.label, []).append(det)
|
||||
|
||||
# Run NMS per class
|
||||
result = []
|
||||
for label, dets in by_label.items():
|
||||
result.extend(nms(dets, iou_threshold))
|
||||
|
||||
return result
|
||||
|
||||
|
||||
@dataclass
|
||||
class Ticket:
|
||||
"""Represents a potential alert event."""
|
||||
|
||||
+2
-1
@@ -3,11 +3,12 @@ name = "gp"
|
||||
version = "0.1.0"
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.14"
|
||||
requires-python = ">=3.13"
|
||||
dependencies = [
|
||||
"numpy>=2.4.0",
|
||||
"opencv-python>=4.11.0.86",
|
||||
"torch>=2.9.1",
|
||||
"torchvision>=0.24.1",
|
||||
"ultralytics>=8.3.248",
|
||||
]
|
||||
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.14"
|
||||
requires-python = ">=3.13"
|
||||
resolution-markers = [
|
||||
"sys_platform == 'win32'",
|
||||
"sys_platform == 'darwin'",
|
||||
"platform_machine == 'aarch64' and sys_platform == 'linux'",
|
||||
"sys_platform == 'win32'",
|
||||
"platform_machine != 'aarch64' and sys_platform == 'linux'",
|
||||
"sys_platform == 'darwin'",
|
||||
"sys_platform != 'darwin' and sys_platform != 'linux' and sys_platform != 'win32'",
|
||||
]
|
||||
|
||||
@@ -24,6 +24,22 @@ version = "3.4.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/13/69/33ddede1939fdd074bce5434295f38fae7136463422fe4fd3e0e89b98062/charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a", size = 129418, upload-time = "2025-10-14T04:42:32.879Z" }
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||||
wheels = [
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||||
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/10/9a/97c8d48ef10d6cd4fcead2415523221624bf58bcf68a802721a6bc807c8f/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8af65f14dc14a79b924524b1e7fffe304517b2bff5a58bf64f30b98bbc5079eb", size = 147889, upload-time = "2025-10-14T04:41:34.897Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/10/bf/979224a919a1b606c82bd2c5fa49b5c6d5727aa47b4312bb27b1734f53cd/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74664978bb272435107de04e36db5a9735e78232b85b77d45cfb38f758efd33e", size = 143641, upload-time = "2025-10-14T04:41:36.116Z" },
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||||
@@ -52,6 +68,28 @@ dependencies = [
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" }
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||||
wheels = [
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||||
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Reference in new issue
Block a user