diff --git a/Gender-Age Detection/README.md b/Gender-Age Detection/README.md deleted file mode 100644 index 713d2156df..0000000000 --- a/Gender-Age Detection/README.md +++ /dev/null @@ -1,26 +0,0 @@ -# GENDER-AGE DETECTION - -## DESCRIPTION - -The objective of this project is to identify the gender and approximate age of a person given in an image automatically. - -## PROJECT REQUISITES - -To build this project we will use - -- Deep Learning to accurately identify the gender and age of a person from a single image of a face. -- We will use this [dataset](https://www.kaggle.com/ttungl/adience-benchmark-gender-and-age-classification) -- The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following 8 ranges- (0 – 2), (4 – 6), (8 – 12), (15 – 20), (25 – 32), (38 – 43), (48 – 53), (60 – 100). - -## PROJECT STRUCTURE - -These are the step to build Gender-Age Detection python project- - -- Detect faces -- Classify into Male/Female -- Classify into one of the 8 age ranges -- Put the results on the image and display it - -## AUTHOR NAME - -[ANUSHKA CHITRANSHI](https://github.com/codebuzzer01) diff --git a/Gender-Age Detection/age_deploy.prototxt b/Gender-Age Detection/age_deploy.prototxt deleted file mode 100644 index 9570d5c8a4..0000000000 --- a/Gender-Age Detection/age_deploy.prototxt +++ /dev/null @@ -1,175 +0,0 @@ -name: "CaffeNet" -input: "data" -input_dim: 1 -input_dim: 3 -input_dim: 227 -input_dim: 227 -layers { - name: "conv1" - type: CONVOLUTION - bottom: "data" - top: "conv1" - convolution_param { - num_output: 96 - kernel_size: 7 - stride: 4 - } -} -layers { - name: "relu1" - type: RELU - bottom: "conv1" - top: "conv1" -} -layers { - name: "pool1" - type: POOLING - bottom: "conv1" - top: "pool1" - pooling_param { - pool: MAX - kernel_size: 3 - stride: 2 - } -} -layers { - name: "norm1" - type: LRN - bottom: "pool1" - top: "norm1" - lrn_param { - local_size: 5 - alpha: 0.0001 - beta: 0.75 - } -} -layers { - name: "conv2" - type: CONVOLUTION - bottom: "norm1" - top: "conv2" - convolution_param { - num_output: 256 - pad: 2 - kernel_size: 5 - } -} -layers { - name: "relu2" - type: RELU - bottom: "conv2" - top: "conv2" -} -layers { - name: "pool2" - type: POOLING - bottom: "conv2" - top: "pool2" - pooling_param { - pool: MAX - kernel_size: 3 - stride: 2 - } -} -layers { - name: "norm2" - type: LRN - bottom: "pool2" - top: "norm2" - lrn_param { - local_size: 5 - alpha: 0.0001 - beta: 0.75 - } -} -layers { - name: "conv3" - type: CONVOLUTION - bottom: "norm2" - top: "conv3" - convolution_param { - num_output: 384 - pad: 1 - kernel_size: 3 - } -} -layers{ - name: "relu3" - type: RELU - bottom: "conv3" - top: "conv3" -} -layers { - name: "pool5" - type: POOLING - bottom: "conv3" - top: "pool5" - pooling_param { - pool: MAX - kernel_size: 3 - stride: 2 - } -} -layers { - name: "fc6" - type: INNER_PRODUCT - bottom: "pool5" - top: "fc6" - inner_product_param { - num_output: 512 - } -} -layers { - name: "relu6" - type: RELU - bottom: "fc6" - top: "fc6" -} -layers { - name: "drop6" - type: DROPOUT - bottom: "fc6" - top: "fc6" - dropout_param { - dropout_ratio: 0.5 - } -} -layers { - name: "fc7" - type: INNER_PRODUCT - bottom: "fc6" - top: "fc7" - inner_product_param { - num_output: 512 - } -} -layers { - name: "relu7" - type: RELU - bottom: "fc7" - top: "fc7" -} -layers { - name: "drop7" - type: DROPOUT - bottom: "fc7" - top: "fc7" - dropout_param { - dropout_ratio: 0.5 - } -} -layers { - name: "fc8" - type: INNER_PRODUCT - bottom: "fc7" - top: "fc8" - inner_product_param { - num_output: 8 - } -} -layers { - name: "prob" - type: SOFTMAX - bottom: "fc8" - top: "prob" -} \ No newline at end of file diff --git a/Gender-Age Detection/age_net.caffemodel b/Gender-Age Detection/age_net.caffemodel deleted file mode 100644 index 8391af479b..0000000000 Binary files a/Gender-Age Detection/age_net.caffemodel and /dev/null differ diff --git a/Gender-Age Detection/gad.py b/Gender-Age Detection/gad.py deleted file mode 100644 index 413bd700fd..0000000000 --- a/Gender-Age Detection/gad.py +++ /dev/null @@ -1,75 +0,0 @@ -import cv2 -import math -import argparse - -def highlightFace(net, frame, conf_threshold=0.7): - frameOpencvDnn=frame.copy() - frameHeight=frameOpencvDnn.shape[0] - frameWidth=frameOpencvDnn.shape[1] - blob=cv2.dnn.blobFromImage(frameOpencvDnn, 1.0, (300, 300), [104, 117, 123], True, False) - - net.setInput(blob) - detections=net.forward() - faceBoxes=[] - for i in range(detections.shape[2]): - confidence=detections[0,0,i,2] - if confidence>conf_threshold: - x1=int(detections[0,0,i,3]*frameWidth) - y1=int(detections[0,0,i,4]*frameHeight) - x2=int(detections[0,0,i,5]*frameWidth) - y2=int(detections[0,0,i,6]*frameHeight) - faceBoxes.append([x1,y1,x2,y2]) - cv2.rectangle(frameOpencvDnn, (x1,y1), (x2,y2), (0,255,0), int(round(frameHeight/150)), 8) - return frameOpencvDnn,faceBoxes - - -parser=argparse.ArgumentParser() -parser.add_argument('--image') - -args=parser.parse_args() - -faceProto="opencv_face_detector.pbtxt" -faceModel="opencv_face_detector_uint8.pb" -ageProto="age_deploy.prototxt" -ageModel="age_net.caffemodel" -genderProto="gender_deploy.prototxt" -genderModel="gender_net.caffemodel" - -MODEL_MEAN_VALUES=(78.4263377603, 87.7689143744, 114.895847746) -ageList=['(0-2)', '(4-6)', '(8-12)', '(15-20)', '(25-32)', '(38-43)', '(48-53)', '(60-100)'] -genderList=['Male','Female'] - -faceNet=cv2.dnn.readNet(faceModel,faceProto) -ageNet=cv2.dnn.readNet(ageModel,ageProto) -genderNet=cv2.dnn.readNet(genderModel,genderProto) - -video=cv2.VideoCapture(args.image if args.image else 0) -padding=20 -while cv2.waitKey(1)<0: - hasFrame,frame=video.read() - if not hasFrame: - cv2.waitKey() - break - - resultImg,faceBoxes=highlightFace(faceNet,frame) - if not faceBoxes: - print("No face detected") - - for faceBox in faceBoxes: - face=frame[max(0,faceBox[1]-padding): - min(faceBox[3]+padding,frame.shape[0]-1),max(0,faceBox[0]-padding) - :min(faceBox[2]+padding, frame.shape[1]-1)] - - blob=cv2.dnn.blobFromImage(face, 1.0, (227,227), MODEL_MEAN_VALUES, swapRB=False) - genderNet.setInput(blob) - genderPreds=genderNet.forward() - gender=genderList[genderPreds[0].argmax()] - print(f'Gender: {gender}') - - ageNet.setInput(blob) - agePreds=ageNet.forward() - age=ageList[agePreds[0].argmax()] - print(f'Age: {age[1:-1]} years') - - cv2.putText(resultImg, f'{gender}, {age}', (faceBox[0], faceBox[1]-10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0,255,255), 2, cv2.LINE_AA) - cv2.imshow("Detecting age and gender", resultImg) diff --git a/Gender-Age Detection/gender_deploy.prototxt b/Gender-Age Detection/gender_deploy.prototxt deleted file mode 100644 index 65fd69caf8..0000000000 --- a/Gender-Age Detection/gender_deploy.prototxt +++ /dev/null @@ -1,175 +0,0 @@ -name: "CaffeNet" -input: "data" -input_dim: 10 -input_dim: 3 -input_dim: 227 -input_dim: 227 -layers { - name: "conv1" - type: CONVOLUTION - bottom: "data" - top: "conv1" - convolution_param { - num_output: 96 - kernel_size: 7 - stride: 4 - } -} -layers { - name: "relu1" - type: RELU - bottom: "conv1" - top: "conv1" -} -layers { - name: "pool1" - type: POOLING - bottom: "conv1" - top: "pool1" - pooling_param { - pool: MAX - kernel_size: 3 - stride: 2 - } -} -layers { - name: "norm1" - type: LRN - bottom: "pool1" - top: "norm1" - lrn_param { - local_size: 5 - alpha: 0.0001 - beta: 0.75 - } -} -layers { - name: "conv2" - type: CONVOLUTION - bottom: "norm1" - top: "conv2" - convolution_param { - num_output: 256 - pad: 2 - kernel_size: 5 - } -} -layers { - name: "relu2" - type: RELU - bottom: "conv2" - top: "conv2" -} -layers { - name: "pool2" - type: POOLING - bottom: "conv2" - top: "pool2" - pooling_param { - pool: MAX - kernel_size: 3 - stride: 2 - } -} -layers { - name: "norm2" - type: LRN - bottom: "pool2" - top: "norm2" - lrn_param { - local_size: 5 - alpha: 0.0001 - beta: 0.75 - } -} -layers { - name: "conv3" - type: CONVOLUTION - bottom: "norm2" - top: "conv3" - convolution_param { - num_output: 384 - pad: 1 - kernel_size: 3 - } -} -layers{ - name: "relu3" - type: RELU - bottom: "conv3" - top: "conv3" -} -layers { - name: "pool5" - type: POOLING - bottom: "conv3" - top: "pool5" - pooling_param { - pool: MAX - kernel_size: 3 - stride: 2 - } -} -layers { - name: "fc6" - type: INNER_PRODUCT - bottom: "pool5" - top: "fc6" - inner_product_param { - num_output: 512 - } -} -layers { - name: "relu6" - type: RELU - bottom: "fc6" - top: "fc6" -} -layers { - name: "drop6" - type: DROPOUT - bottom: "fc6" - top: "fc6" - dropout_param { - dropout_ratio: 0.5 - } -} -layers { - name: "fc7" - type: INNER_PRODUCT - bottom: "fc6" - top: "fc7" - inner_product_param { - num_output: 512 - } -} -layers { - name: "relu7" - type: RELU - bottom: "fc7" - top: "fc7" -} -layers { - name: "drop7" - type: DROPOUT - bottom: "fc7" - top: "fc7" - dropout_param { - dropout_ratio: 0.5 - } -} -layers { - name: "fc8" - type: INNER_PRODUCT - bottom: "fc7" - top: "fc8" - inner_product_param { - num_output: 2 - } -} -layers { - name: "prob" - type: SOFTMAX - bottom: "fc8" - top: "prob" -} \ No newline at end of file diff --git a/Gender-Age Detection/gender_net.caffemodel b/Gender-Age Detection/gender_net.caffemodel deleted file mode 100644 index 87862497f4..0000000000 Binary files a/Gender-Age Detection/gender_net.caffemodel and /dev/null differ diff --git a/Gender-Age Detection/girl1.jpg b/Gender-Age Detection/girl1.jpg deleted file mode 100644 index b2285277f6..0000000000 Binary files a/Gender-Age Detection/girl1.jpg and /dev/null differ diff --git a/Gender-Age Detection/girl2.jpg b/Gender-Age Detection/girl2.jpg deleted file mode 100644 index 0961996f26..0000000000 Binary files a/Gender-Age Detection/girl2.jpg and /dev/null differ diff --git a/Gender-Age Detection/kid1.jpg b/Gender-Age Detection/kid1.jpg deleted file mode 100644 index 0c9a06ea27..0000000000 Binary files a/Gender-Age Detection/kid1.jpg and /dev/null differ diff --git a/Gender-Age Detection/man1.jpg b/Gender-Age Detection/man1.jpg deleted file mode 100644 index d67d6339e4..0000000000 Binary files a/Gender-Age Detection/man1.jpg and /dev/null differ diff --git a/Gender-Age Detection/minion.jpg b/Gender-Age Detection/minion.jpg deleted file mode 100644 index e1dfb3ac2c..0000000000 Binary files a/Gender-Age Detection/minion.jpg and /dev/null differ diff --git a/Gender-Age Detection/opencv_face_detector.pbtxt b/Gender-Age Detection/opencv_face_detector.pbtxt deleted file mode 100644 index d2dde7d4cd..0000000000 --- a/Gender-Age Detection/opencv_face_detector.pbtxt +++ /dev/null @@ -1,2362 +0,0 @@ -node { - 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