remove image size slider

app.py

@@ -42,11 +42,6 @@ image = Image.open(requests.get(url, stream=True).raw)
 inputs = processor(images=image, return_tensors="pt").to(device).to(torch.float16)
 init_compiled_model()
 
-
-css = """
-.feedback textarea {font-size: 24px !important}
-"""
-
 BOUNDING_BOX_ANNOTATOR = sv.BoundingBoxAnnotator()
 MASK_ANNOTATOR = sv.MaskAnnotator()
 LABEL_ANNOTATOR = sv.LabelAnnotator()
@@ -69,7 +64,6 @@ def annotate_image(input_image, detections, labels) -> np.ndarray:
 def process_video(
     input_video,
     confidence_threshold,
-    max_side,
     progress=gr.Progress(track_tqdm=True),
 ):
     video_info = sv.VideoInfo.from_video_path(input_video)
@@ -85,7 +79,7 @@ def process_video(
                 frame = next(frame_generator)
             except StopIteration:
                 break
-            results, fps = query(frame, confidence_threshold, max_side=max_side)
+            results, fps = query(frame, confidence_threshold)
             all_fps.append(fps)
             final_labels = []
             detections = []
@@ -108,11 +102,8 @@ def process_video(
     )
 
 
-def query(frame, confidence_threshold, max_side=640):
-    frame_resized = sv.resize_image(
-        image=frame, resolution_wh=(max_side, max_side), keep_aspect_ratio=True
-    )
-    image = Image.fromarray(frame_resized)
+def query(frame, confidence_threshold):
+    image = Image.fromarray(frame)
     inputs = processor(images=image, return_tensors="pt").to(device, torch.float16)
     with torch.no_grad():
         start = time.time()
@@ -129,7 +120,7 @@ def query(frame, confidence_threshold, max_side=640):
     return results, fps
 
 
-with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("## Real Time Object Detection with compiled RT-DETR")
     gr.Markdown(
         """
@@ -157,13 +148,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
             value=0.3,
             step=0.05,
         )
-        max_side = gr.Slider(
-            label="Image Size",
-            minimum=240,
-            maximum=1080,
-            value=640,
-            step=10,
-        )
     with gr.Row():
         submit = gr.Button(variant="primary")
 
@@ -173,13 +157,13 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
             ["./cat.mp4", 0.3, 640],
             ["./safari2.mp4", 0.3, 640],
         ],
-        inputs=[input_video, conf, max_side],
+        inputs=[input_video, conf],
         outputs=output_video,
     )
 
     submit.click(
         fn=process_video,
-        inputs=[input_video, conf, max_side],
+        inputs=[input_video, conf],
         outputs=[output_video, actual_fps],
     )