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Standardize Input Size Parameter and Add Progressive Training Features #24

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Merged
dnth merged 6 commits into from
Apr 3, 2025
Merged

Standardize Input Size Parameter and Add Progressive Training Features #24

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15161b2
update notebook
dnth Apr 3, 2025
facdb35
update
dnth Apr 3, 2025
ecc895d
update inference scirpt
dnth Apr 3, 2025
c4dddbf
update nb
dnth Apr 3, 2025
b4d56d7
refactor run inference
dnth Apr 3, 2025
c65a3cc
rename to inference size
dnth Apr 3, 2025
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10 changes: 5 additions & 5 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -346,7 +346,7 @@ python scripts/live_inference.py
--model model.onnx # Path to the ONNX model file
--webcam # Use webcam as input source
--classes classes.txt # Path to the classes file with each name on a new row
--video-width 720 # Input size for the model
--inference-size 720 # Input size for the model
--provider tensorrt # Execution provider (cpu/cuda/tensorrt)
--threshold 0.3 # Detection confidence threshold
```
Expand Down Expand Up @@ -385,7 +385,7 @@ python scripts/live_inference.py
--model model.onnx # Path to the ONNX model file
--video video.mp4 # Path to the input video file
--classes classes.txt # Path to the classes file with each name on a new row
--video-width 320 # Input size for the model
--inference-size 320 # Input size for the model (renamed from --video-width)
--provider cpu # Execution provider (cpu/cuda/tensorrt)
--threshold 0.3 # Detection confidence threshold
```
Expand Down Expand Up @@ -422,7 +422,7 @@ The following is a demo of image inference
> --onnx model.onnx
> --webcam
> --class-names classes.txt
> --input-size 320
> --inference-size 320
> ```
> Under the hood, this automatically pull in the `onnxruntime-gpu` package into the `cuda` environment and use the GPU for inference!
>
Expand Down Expand Up @@ -456,7 +456,7 @@ pixi run -e cpu train-model

Run live inference
```bash
pixi run -e cuda live-inference --onnx model.onnx --webcam --provider cuda --class-names classes.txt --input-size 640
pixi run -e cuda live-inference --onnx model.onnx --webcam --provider cuda --class-names classes.txt --inference-size 640
```

> [!TIP]
Expand All @@ -468,7 +468,7 @@ pixi run -e cuda live-inference --onnx model.onnx --webcam --provider cuda --cla
> ```

```bash
pixi run -e cpu live-inference --onnx model.onnx --input video.mp4 --class-names classes.txt --input-size 320
pixi run -e cpu live-inference --onnx model.onnx --input video.mp4 --class-names classes.txt --inference-size 320
```

Launch Gradio app
Expand Down
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