Spaces:
Running
on
Zero
Running
on
Zero
Darius Morawiec
commited on
Commit
·
7b4b54b
1
Parent(s):
c8d2dc0
Add image scaling functionality and target size slider
Browse files
app.py
CHANGED
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@@ -33,6 +33,21 @@ model_ids = [
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]
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def image_to_base64(image):
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buffered = BytesIO()
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image.save(buffered, format="PNG")
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@@ -43,7 +58,7 @@ def image_to_base64(image):
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with gr.Blocks() as demo:
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gr.Markdown("# Qwen-VL Object-Detection")
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gr.Markdown(
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"Compare [Qwen3-VL](https://huggingface.co/collections/Qwen/qwen3-vl), [Qwen2.5-VL](https://huggingface.co/collections/Qwen/qwen25-vl) and [Qwen2-VL](https://huggingface.co/collections/Qwen/qwen2-vl) models by [Qwen](https://huggingface.co/Qwen) for object detection
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)
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if DEVICE != "cuda":
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@@ -86,6 +101,14 @@ with gr.Blocks() as demo:
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step=32,
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interactive=True,
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)
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with gr.Column():
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gr.Markdown("## Outputs")
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@@ -114,6 +137,7 @@ with gr.Blocks() as demo:
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def run(
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image,
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system_prompt: str,
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user_prompt: str,
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model_id: str,
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@@ -164,7 +188,7 @@ with gr.Blocks() as demo:
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"content": [
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{
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"type": "image",
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"image": f"data:image;base64,{image_to_base64(image)}",
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},
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{"type": "text", "text": system_prompt},
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{"type": "text", "text": user_prompt},
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fn=run,
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inputs=[
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image_input,
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system_prompt,
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user_prompt,
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input_model_id,
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]
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def scale_image(image, target_size=1000):
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width, height = image.size
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if max(width, height) <= target_size:
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return image
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if width >= height:
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new_width = target_size
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new_height = int((target_size / width) * height)
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else:
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new_height = target_size
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new_width = int((target_size / height) * width)
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return image.resize((new_width, new_height))
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def image_to_base64(image):
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buffered = BytesIO()
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image.save(buffered, format="PNG")
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with gr.Blocks() as demo:
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gr.Markdown("# Qwen-VL Object-Detection")
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gr.Markdown(
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"Compare [Qwen3-VL](https://huggingface.co/collections/Qwen/qwen3-vl), [Qwen2.5-VL](https://huggingface.co/collections/Qwen/qwen25-vl) and [Qwen2-VL](https://huggingface.co/collections/Qwen/qwen2-vl) models by [Qwen](https://huggingface.co/Qwen) for object detection."
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)
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if DEVICE != "cuda":
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step=32,
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interactive=True,
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)
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image_target_size = gr.Slider(
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label="Image Target Size (longest side)",
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minimum=256,
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maximum=3072,
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value=1024,
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step=1,
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interactive=True,
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)
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with gr.Column():
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gr.Markdown("## Outputs")
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def run(
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image,
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image_target_size: int,
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system_prompt: str,
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user_prompt: str,
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model_id: str,
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"content": [
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{
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"type": "image",
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"image": f"data:image;base64,{image_to_base64(scale_image(image, image_target_size))}",
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},
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{"type": "text", "text": system_prompt},
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{"type": "text", "text": user_prompt},
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fn=run,
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inputs=[
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image_input,
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image_target_size,
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system_prompt,
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user_prompt,
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input_model_id,
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