Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -14,6 +14,7 @@ model_mm_grounding_id = "rziga/mm_grounding_dino_tiny_o365v1_goldg"
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model_llmdet_name = extract_model_short_name(model_llmdet_id)
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model_mm_grounding_name = extract_model_short_name(model_mm_grounding_id)
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def detect_llmdet(image: Image.Image, prompts: list, threshold: float):
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t0 = time.perf_counter()
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model_id = model_llmdet_id
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@@ -42,6 +43,7 @@ def detect_llmdet(image: Image.Image, prompts: list, threshold: float):
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raw_text = "\n".join(raw_results) if raw_results else "No detections"
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return annotations, raw_text, time_taken
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def detect_mm_grounding(image: Image.Image, prompts: list, threshold: float):
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t0 = time.perf_counter()
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model_id = model_mm_grounding_id
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@@ -70,7 +72,7 @@ def detect_mm_grounding(image: Image.Image, prompts: list, threshold: float):
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raw_text = "\n".join(raw_results) if raw_results else "No detections"
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return annotations, raw_text, time_taken
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-
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def run_detection(image, prompts_str, threshold):
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if image is None:
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return (None, []), "No detections", "", (None, []), "No detections", ""
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model_llmdet_name = extract_model_short_name(model_llmdet_id)
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model_mm_grounding_name = extract_model_short_name(model_mm_grounding_id)
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@spaces.GPU
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def detect_llmdet(image: Image.Image, prompts: list, threshold: float):
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t0 = time.perf_counter()
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model_id = model_llmdet_id
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raw_text = "\n".join(raw_results) if raw_results else "No detections"
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return annotations, raw_text, time_taken
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@spaces.GPU
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def detect_mm_grounding(image: Image.Image, prompts: list, threshold: float):
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t0 = time.perf_counter()
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model_id = model_mm_grounding_id
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raw_text = "\n".join(raw_results) if raw_results else "No detections"
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return annotations, raw_text, time_taken
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+
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def run_detection(image, prompts_str, threshold):
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if image is None:
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return (None, []), "No detections", "", (None, []), "No detections", ""
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