removed gradio

RTDETR_README.md

@@ -14,9 +14,9 @@ RT-DETR (Real-Time Detection Transformer) is Apache 2.0 licensed - **free for co
 
 ### 1. Annotate Images
 
-Use the annotation GUI:
+Use the Tkinter annotation GUI:
 ```bash
-.venv/bin/python annotation_gui.py
+.venv/bin/python tk_annotation_gui.py --images-dir IMAGE/
 ```
 
 - Load your images from Settings
@@ -25,24 +25,14 @@ Use the annotation GUI:
 
 ### 2. Train Model
 
-From the GUI:
-1. Go to **Training** tab
-2. Click "Prepare Dataset" (creates train/valid/test splits)
-3. Select **RT-DETR** framework
-4. Choose model size:
-   - `nano` (r18): Fastest, 30-40 FPS on OAK
-   - `small` (r34): Balanced
-   - `medium` (r50): More accurate
-   - `base` (l): Best accuracy, slower
-5. Click "Start Training"
-
-Or from command line:
+Train from the command line:
 ```bash
-.venv/bin/python train_rtdetr.py \
-    --dataset-dir dataset_prepared \
-    --model rtdetr-r18 \
-    --epochs 100 \
-    --batch-size 8
+.venv/bin/python train_model.py \
+   --framework rtdetr \
+   --dataset dataset_prepared \
+   --output runs/rtdetr_training \
+   --model-size small \
+   --epochs 100
 ```
 
 ### 3. Test Model