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Hamza 2026-05-25 10:16:02 +02:00
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@ -445,7 +445,7 @@ python 2_train_classifier.py \
- It will appear at `/kaggle/input/my-product-crops/` - It will appear at `/kaggle/input/my-product-crops/`
4. Enable the GPU: 4. Enable the GPU:
- Right panel → **Session options → Accelerator → GPU T4 x1** - Right panel → **Session options → Accelerator → GPU T4 x2**
5. Edit **Cell 2 — Configuration** only: 5. Edit **Cell 2 — Configuration** only:
```python ```python
@ -477,6 +477,10 @@ After training, download from `/kaggle/working/runs/classify/`:
These two files are all you need to run `3_inference.py` and `api_server.py`. These two files are all you need to run `3_inference.py` and `api_server.py`.
<div align="center">
<video src="assets/video/Training Model.mp4" title="Update Dataset.mp4" width="75%" controls></video>
</div>
#### Option C — Fully automated via `kaggle_train.py` #### Option C — Fully automated via `kaggle_train.py`
Run the entire Kaggle pipeline — upload, train, download — from a single command with no browser needed: Run the entire Kaggle pipeline — upload, train, download — from a single command with no browser needed: