all

appbasic.py

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+import gradio as gr
+import pandas as pd
+
+# Sample data for the table
+data = {
+    "Column 1": ["A", "B", "C"],
+    "Column 2": [1, 2, 3],
+    "Column 3": [4.5, 5.5, 6.5]
+}
+df = pd.DataFrame(data)
+
+def display_images(img1, img2):
+    # Function to display images and return them as outputs
+    return img1, img2, df
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=display_images,    
+    inputs=[
+        gr.Image(label="Upload Front Pose"),
+        gr.Image(label="Upload Side Pose"),
+        gr.Number(label="Enter Height (cm)")
+    ],
+    outputs=[
+        gr.DataFrame(label="Tabular Data"),
+    ],
+    title="Body Sizing System Demo",
+    description="Upload two images. Front View and Side View"
+)
+
+# Launch the app
+interface.launch(share=False)

calculations.py

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+import math
+
+def euclidean_distance(point1, point2):
+    return math.sqrt((point2[0] - point1[0]) ** 2 + (point2[1] - point1[1]) ** 2)
+
+def convert_to_real_measurements(pixel_measurement, pixel_height, real_height_cm):
+    height_ratio = real_height_cm / pixel_height
+    return pixel_measurement * height_ratio
+
+def measure_body_sizes(poses, real_height_cm):
+    """Measure various body sizes based on detected poses."""
+    measurements = []
+    for pose in poses:
+        keypoints = pose[0]  # This should directly give us the dictionary
+        
+        # Extract positions directly from keypoints
+        left_shoulder = keypoints[5].position
+        right_shoulder = keypoints[6].position
+        left_hip = keypoints[11].position
+        right_hip = keypoints[12].position
+        left_ankle = keypoints[15].position
+        right_ankle = keypoints[16].position
+        left_wrist = keypoints[9].position
+        right_wrist = keypoints[10].position
+        left_eye = keypoints[1].position
+        right_eye = keypoints[2].position
+        
+        # Calculate pixel height (from the top of the head to the bottom of the ankle)
+        pixel_height = euclidean_distance((left_eye.x, left_eye.y), (left_ankle.x, left_ankle.y))
+
+        # Calculate other pixel measurements
+        shoulder_width_pixels = euclidean_distance((left_shoulder.x, left_shoulder.y), (right_shoulder.x, right_shoulder.y))
+        leg_length_pixels = euclidean_distance((left_hip.x, left_hip.y), (left_ankle.x, left_ankle.y))
+        arm_length_pixels = euclidean_distance((left_shoulder.x, left_shoulder.y), (left_wrist.x, left_wrist.y))
+        shoulder_to_waist_pixels = euclidean_distance((left_shoulder.x, left_shoulder.y), (left_hip.x, left_hip.y))
+        
+        # Convert pixel measurements to real measurements using the height ratio
+        measurements.append({
+            "shoulder_width_cm": convert_to_real_measurements(shoulder_width_pixels, pixel_height, real_height_cm),
+            "leg_length_cm": convert_to_real_measurements(leg_length_pixels, pixel_height, real_height_cm),
+            "arm_length_cm": convert_to_real_measurements(arm_length_pixels, pixel_height, real_height_cm),
+            "shoulder_to_waist_cm": convert_to_real_measurements(shoulder_to_waist_pixels, pixel_height, real_height_cm)
+        })
+
+    return measurements

input1/body.csv

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+selfie,front,side,measurements
+files/0/selfie_img.jpg,files/0/front_img.jpg,files/0/side_img.jpg,files/0/measurements.json
+files/1/selfie_img.jpg,files/1/front_img.jpg,files/1/side_img.jpg,files/1/measurements.json
+files/2/selfie_img.jpg,files/2/front_img.jpg,files/2/side_img.jpg,files/2/measurements.json
+files/3/selfie_img.jpg,files/3/front_img.jpg,files/3/side_img.jpg,files/3/measurements.json
+files/4/selfie_img.jpg,files/4/front_img.jpg,files/4/side_img.jpg,files/4/measurements.json
+files/5/selfie_img.jpg,files/5/front_img.jpg,files/5/side_img.jpg,files/5/measurements.json
+files/6/selfie_img.jpg,files/6/front_img.jpg,files/6/side_img.jpg,files/6/measurements.json
+files/7/selfie_img.jpg,files/7/front_img.jpg,files/7/side_img.jpg,files/7/measurements.json
+files/8/selfie_img.jpg,files/8/front_img.jpg,files/8/side_img.jpg,files/8/measurements.json
+files/9/selfie_img.jpg,files/9/front_img.jpg,files/9/side_img.jpg,files/9/measurements.json
+files/10/selfie_img.jpg,files/10/front_img.jpg,files/10/side_img.jpg,files/10/measurements.json
+files/11/selfie_img.jpg,files/11/front_img.jpg,files/11/side_img.jpg,files/11/measurements.json
+files/12/selfie_img.jpg,files/12/front_img.jpg,files/12/side_img.jpg,files/12/measurements.json
+files/13/selfie_img.jpg,files/13/front_img.jpg,files/13/side_img.jpg,files/13/measurements.json
+files/14/selfie_img.jpg,files/14/front_img.jpg,files/14/side_img.jpg,files/14/measurements.json
+files/15/selfie_img.jpg,files/15/front_img.jpg,files/15/side_img.jpg,files/15/measurements.json
+files/16/selfie_img.jpg,files/16/front_img.jpg,files/16/side_img.jpg,files/16/measurements.json
+files/17/selfie_img.jpg,files/17/front_img.jpg,files/17/side_img.jpg,files/17/measurements.json
+files/18/selfie_img.jpg,files/18/front_img.jpg,files/18/side_img.jpg,files/18/measurements.json
+files/19/selfie_img.jpg,files/19/front_img.jpg,files/19/side_img.jpg,files/19/measurements.json
+files/20/selfie_img.jpg,files/20/front_img.jpg,files/20/side_img.jpg,files/20/measurements.json

input1/files/0/measurements.json

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+{ 
+	"arm_length_cm": "55.0", 
+	"chest_circumference_cm": "79.0", 
+	"front_build_cm": "31.0", 
+	"hips_circumference_cm": "70.0_tbr", 
+	"leg_length_cm": "95.0", 
+	"neck_circumference_cm": "33.0", 
+	"neck_waist_length_front_cm": "44.0", 
+	"pelvis_circumference_cm": "88.0", 
+	"shoulder_width_cm": "40.0", 
+	"thigh_circumference_cm": "49.0", 
+	"under_chest_circumference_cm": "71.0",  
+	"waist_circumference_cm": "68.0", 
+	"height": "159.0", 
+	"weight": "49.0", 
+	"age": "34", 
+	"gender": "female", 
+	"race": "latino", 
+	"profession": "Employees"
+}

input1/files/1/measurements.json

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+{ 
+	"arm_length_cm": "55.0", 
+	"chest_circumference_cm": "93.0", 
+	"front_build_cm": "30.0_tbr", 
+	"hips_circumference_cm": "100.0", 
+	"leg_length_cm": "90.0_tbr", 
+	"neck_circumference_cm": "34.0", 
+	"neck_waist_length_front_cm": "46.0_tbr", 
+	"pelvis_circumference_cm": "106.0", 
+	"shoulder_width_cm": "44.0_tbr", 
+	"thigh_circumference_cm": "61.0", 
+	"under_chest_circumference_cm": "79.0", 
+	"waist_circumference_cm": "79.0", 
+	"height": "157.0", 
+	"weight": "64.0", 
+	"age": "33", 
+	"gender": "female", 
+	"race": "latino", 
+	"profession": "Executives"
+}

input1/files/10/measurements.json

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+{ 
+	"arm_length_cm": "64.0_tbr", 
+	"chest_circumference_cm": "112.0_tbr", 
+	"front_build_cm": "32.0_tbr", 
+	"hips_circumference_cm": "98.0_tbr", 
+	"leg_length_cm": "103.0_tbr", 
+	"neck_circumference_cm": "36.0_tbr",  
+	"neck_waist_length_front_cm": "43.0_tbr", 
+	"pelvis_circumference_cm": "113.0_tbr", 
+	"shoulder_width_cm": "42.0_tbr", 
+	"thigh_circumference_cm": "48.0_tbr", 
+	"under_chest_circumference_cm": "87.0_tbr", 
+	"waist_circumference_cm": "88.0_tbr", 
+	"height": "163.0", 
+	"weight": "78.0", 
+	"age": "16", 
+	"gender": "male", 
+	"race": "caucasian", 
+	"profession": "Others"
+}

input1/files/11/measurements.json

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+{
+	"arm_length_cm": "55.0", 
+	"chest_circumference_cm": "86.0", 
+	"front_build_cm": "27.0", 
+	"hips_circumference_cm": "84.0", 
+	"leg_length_cm": "88.0", 
+	"neck_circumference_cm": "35.0", 
+	"neck_waist_length_front_cm": "42.0", 
+	"pelvis_circumference_cm": "88.0_tbr",  
+	"shoulder_width_cm": "15.0_tbr", 
+	"thigh_circumference_cm": "55.0", 
+	"under_chest_circumference_cm": "75.0", 
+	"waist_circumference_cm": "65.0", 
+	"height": "163.0", 
+	"weight": "53.0", 
+	"age": "23", 
+	"gender": "female", 
+	"race": "caucasian", 
+	"profession": "Others"
+}

input1/files/12/measurements.json

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+{ 
+	"arm_length_cm": "55.0", 
+	"chest_circumference_cm": "90.0",
+	"front_build_cm": "32.0_tbr", 
+	"hips_circumference_cm": "76.0", 
+	"leg_length_cm": "102.0", 
+	"neck_circumference_cm": "36.0", 
+	"neck_waist_length_front_cm": "46.0_tbr", 
+	"pelvis_circumference_cm": "101.0", 
+	"shoulder_width_cm": "38.0", 
+	"thigh_circumference_cm": "56.0", 
+	"under_chest_circumference_cm": "79.0",  
+	"waist_circumference_cm": "73.0", 
+	"height": "165.0", 
+	"weight": "60.0", 
+	"age": "37", 
+	"gender": "female", 
+	"race": "caucasian", 
+	"profession": "Executives"
+}

input1/files/13/measurements.json

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+{
+	"arm_length_cm": "60.0_tbr", 
+	"chest_circumference_cm": "105.0_tbr", 
+	"front_build_cm": "33.0_tbr", 
+	"hips_circumference_cm": "102.0_tbr", 
+	"leg_length_cm": "86.0_tbr", 
+	"neck_circumference_cm": "38.0_tbr", 
+	"neck_waist_length_front_cm": "55.0_tbr", 
+	"pelvis_circumference_cm": "103.0_tbr", 
+	"shoulder_width_cm": "41.0_tbr", 
+	"thigh_circumference_cm": "52.0_tbr", 
+	"under_chest_circumference_cm": "94.0_tbr", 
+	"waist_circumference_cm": "102.0_tbr", 
+	"height": "155.0", 
+	"weight": "99.0", 
+	"age": "34", 
+	"gender": "male", 
+	"race": "caucasian", 
+	"profession": "Others"
+}

input1/files/14/measurements.json

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+{
+	"arm_length_cm": "58.0", 
+	"chest_circumference_cm": "86.0_tbr", 
+	"front_build_cm": "34.0_tbr", 
+	"hips_circumference_cm": "80.0", 
+	"leg_length_cm": "96.0_tbr", 
+	"neck_circumference_cm": "31.0", 
+	"neck_waist_length_front_cm": "41.0_tbr", 
+	"pelvis_circumference_cm": "96.0", 
+	"shoulder_width_cm": "42.0_tbr", 
+	"thigh_circumference_cm": "55.0", 
+	"under_chest_circumference_cm": "72.0", 
+	"waist_circumference_cm": "77.0", 
+	"height": "172.0", 
+	"weight": "58.0", 
+	"age": "36", 
+	"gender": "female", 
+	"race": "black", 
+	"profession": "Employees"
+}

input1/files/15/measurements.json

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+{
+	"arm_length_cm": "60.0_tbr", 
+	"chest_circumference_cm": "103.0_tbr", 
+	"front_build_cm": "38.0_tbr", 
+	"hips_circumference_cm": "99.0_tbr", 
+	"leg_length_cm": "95.0_tbr", 
+	"neck_circumference_cm": "43.0_tbr", 
+	"neck_waist_length_front_cm": "55.0_tbr", 
+	"pelvis_circumference_cm": "101.0_tbr", 
+	"shoulder_width_cm": "40.0_tbr", 
+	"thigh_circumference_cm": "54.0_tbr", 
+	"under_chest_circumference_cm": "95.0_tbr", 
+	"waist_circumference_cm": "101.0_tbr", 
+	"height": "168.0", 
+	"weight": "76.0", 
+	"age": "39", 
+	"gender": "male", 
+	"race": "indian", 
+	"profession": "Intermediate_prof"
+}

input1/files/16/measurements.json

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+{
+	"arm_length_cm": "58.0_tbr", 
+	"chest_circumference_cm": "107.0",  
+	"front_build_cm": "42.0", 
+	"hips_circumference_cm": "93.0", 
+	"leg_length_cm": "90.0_tbr", 
+	"neck_circumference_cm": "41.0", 
+	"neck_waist_length_front_cm": "48.0_tbr", 
+	"pelvis_circumference_cm": "103.0", 
+	"shoulder_width_cm": "46.0_tbr", 
+	"thigh_circumference_cm": "56.0", 
+	"under_chest_circumference_cm": "99.0", 
+	"waist_circumference_cm": "92.0", 
+	"height": "175.0", 
+	"weight": "80.0", 
+	"age": "28", 
+	"gender": "male", 
+	"race": "caucasian", 
+	"profession": "Others"
+}

input1/files/17/measurements.json

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+{
+	"arm_length_cm": "59.0", 
+	"chest_circumference_cm": "90.0", 
+	"front_build_cm": "31.0_tbr", 
+	"hips_circumference_cm": "90.0", 
+	"leg_length_cm": "91.0_tbr", 
+	"neck_circumference_cm": "30.0", 
+	"neck_waist_length_front_cm": "53.0_tbr", 
+	"pelvis_circumference_cm": "102.0", 
+	"shoulder_width_cm": "44.0_tbr", 
+	"thigh_circumference_cm": "56.0", 
+	"under_chest_circumference_cm": "85.0", 
+	"waist_circumference_cm": "73.0_tbr", 
+	"height": "170.0", 
+	"weight": "61.0", 
+	"age": "29", 
+	"gender": "female", 
+	"race": "caucasian", 
+	"profession": "Manual"
+}

input1/files/18/measurements.json

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+{
+	"arm_length_cm": "64.0", 
+	"chest_circumference_cm": "110.0", 
+	"front_build_cm": "48.0_tbr", 
+	"hips_circumference_cm": "50.0_tbr", 
+	"leg_length_cm": "110.0", 
+	"neck_circumference_cm": "43.0", 
+	"neck_waist_length_front_cm": "54.0_tbr", 
+	"pelvis_circumference_cm": "111.0", 
+	"shoulder_width_cm": "39.0", 
+	"thigh_circumference_cm": "61.0", 
+	"under_chest_circumference_cm": "102.0", 
+	"waist_circumference_cm": "99.0", 
+	"height": "190.0", 
+	"weight": "100.0", 
+	"age": "42", 
+	"gender": "male", 
+	"race": "caucasian", 
+	"profession": "Executives"
+}