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calmdowngirl
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Browse files- __pycache__/ppl_detector.cpython-312.pyc +0 -0
- app.py +6 -2
- ppl_detector.py +16 -5
__pycache__/ppl_detector.cpython-312.pyc
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Binary files a/__pycache__/ppl_detector.cpython-312.pyc and b/__pycache__/ppl_detector.cpython-312.pyc differ
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app.py
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@@ -1,11 +1,15 @@
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import gradio as gr
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from ppl_detector import detect
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with gr.Blocks() as demo:
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img_input = gr.Image(type="filepath", label="Input Image")
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img_output = gr.Image(label="Output Image with Detections")
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img_input.change(fn=detect, inputs=img_input, outputs=img_output)
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demo.launch()
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import gradio as gr
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from ppl_detector import detect, set_result
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with gr.Blocks() as demo:
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img_input = gr.Image(type="filepath", format="jpg", label="Input Image")
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title = "<h1 id='result' style='display: flex;justify-content: center;'>it counts ppl, upload an image, see how it goes</h1>"
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state = gr.HTML(title)
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img_output = gr.Image(label="Output Image with Detections")
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img_input.change(fn=detect, inputs=img_input, outputs=img_output)
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img_output.change(fn=set_result, outputs=state)
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demo.launch()
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ppl_detector.py
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from transformers import pipeline
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from PIL import Image, ImageDraw
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detector = pipeline("object-detection", model="hustvl/yolos-base")
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source = None
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def draw_bbox(bboxes):
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global source
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def detect(img):
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global source
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if
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source = Image.open(img)
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else:
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return None
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objects = detector(source)
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persons = [
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o for o in objects
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if o['label'] == 'person' and o['score'] > 0.83]
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bboxes = list(map(lambda p: (p['box']['xmin'], p['box']['ymin'], p['box']['xmax'], p['box']['ymax']), persons))
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n = len(persons)
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print(f"it's got {n} {'ppl' if n > 1 else 'person'} in the image")
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draw_bbox(bboxes)
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return source
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from transformers import pipeline
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from PIL import Image, ImageDraw
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from pprint import pprint
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detector = pipeline("object-detection", model="hustvl/yolos-base")
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source = None
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state = None
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def draw_bbox(bboxes):
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global source
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def detect(img):
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global source, result
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if img is not None:
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source = Image.open(img)
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else:
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return None
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print("processing img...")
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objects = detector(source)
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persons = [
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o for o in objects
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if o['label'] == 'person' and o['score'] > 0.83]
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bboxes = list(map(lambda p: (p['box']['xmin'], p['box']['ymin'], p['box']['xmax'], p['box']['ymax']), persons))
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n = len(persons)
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result = f"it's got {n} {'ppl' if n > 1 else 'person'} in the image"
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draw_bbox(bboxes)
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return source
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def set_result(*args):
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global result
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if result is None:
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return f"<h1 id='result' style='display: flex;justify-content: center;'>it counts ppl, upload an image, see how it goes</h1>"
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else:
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title = f"<h1 id='result' style='display: flex;justify-content: center;'>{result}</h1>"
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result = None
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return title
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