How to use save_image_file method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

split_eyes_mouth.py

Source:split_eyes_mouth.py Github

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1import sys2import cv23import dlib4import numpy as np5detector = dlib.get_frontal_face_detector()6predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")7COLOR_WHITE = (255, 255, 255)8img_size_width = 3009img_size_height = 30010''''''''''''''''''''' Realtime Webcam Code '''''''''''''''''''''''11cap = cv2.VideoCapture(0)12masked_img = np.zeros((img_size_width, img_size_height, 3), np.uint8)13while True:14 ret, img = cap.read()15 if not ret:16 break17 org_img = cv2.resize(img, dsize=(img_size_width, img_size_height), interpolation=cv2.INTER_LINEAR)18 draw_img = np.zeros((org_img.shape[0], org_img.shape[1], org_img.shape[2]), np.uint8)19 gray = cv2.cvtColor(org_img, cv2.COLOR_BGR2GRAY)20 faces = detector(gray, 1)21 print("Number of Faces Detected: ", len(faces))22 roi_parts = []23 for face in faces:24 landmarks = predictor(gray, face)25 left_eye_points = []26 for i in range(36, 42):27 point = [landmarks.part(i).x, landmarks.part(i).y]28 left_eye_points.append(point)29 left_eye_mask = np.array(left_eye_points, dtype=np.int32)30 img_line = cv2.polylines(draw_img, [left_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)31 draw_img = cv2.fillPoly(img_line, [left_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)32 right_eye_points = []33 for i in range(42, 48):34 point = [landmarks.part(i).x, landmarks.part(i).y]35 right_eye_points.append(point)36 right_eye_mask = np.array(right_eye_points, dtype=np.int32)37 img_line = cv2.polylines(draw_img, [right_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)38 draw_img = cv2.fillPoly(img_line, [right_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)39 mouth_points = []40 for i in range(48, 60):41 point = [landmarks.part(i).x, landmarks.part(i).y]42 mouth_points.append(point)43 mouth_mask = np.array(mouth_points, dtype=np.int32)44 img_line = cv2.polylines(draw_img, [mouth_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)45 draw_img = cv2.fillPoly(img_line, [mouth_mask], COLOR_WHITE, lineType=cv2.LINE_AA)46 masked_img = cv2.bitwise_and(org_img, draw_img)47 draw_img_gray = cv2.cvtColor(draw_img, cv2.COLOR_BGR2GRAY)48 contours, hierarchy = cv2.findContours(draw_img_gray, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)49 roi_list = []50 for contour in contours:51 x, y, w, h = cv2.boundingRect(contour)52 cv2.rectangle(draw_img, (x, y), (x + w, y + h), (0, 80, 0), 2)53 roi = masked_img[y:y + h, x:x + w]54 roi = cv2.resize(roi, dsize=(img_size_width // 1, img_size_height // 1), interpolation=cv2.INTER_LINEAR)55 roi_list.append(roi)56 if len(contours) > 2:57 roi_left_eye = roi_list[1]58 roi_right_eye = roi_list[2]59 if cv2.boundingRect(contours[1])[0] > cv2.boundingRect(contours[2])[0]:60 roi_left_eye = roi_list[2]61 roi_right_eye = roi_list[1]62 roi_parts.append(roi_list[0])63 roi_parts.append(roi_left_eye)64 roi_parts.append(roi_right_eye)65 cv2.imshow('org_img', org_img)66 cv2.imshow('contoured_img', draw_img)67 cv2.imshow('masked_img', masked_img)68 if len(roi_parts) > 0 and len(roi_parts) % 3 == 0:69 for roi_idx in range(0, len(roi_parts), 3):70 cv2.imshow('roi_mouth', roi_parts[roi_idx])71 cv2.imshow('roi_left_eye', roi_parts[roi_idx + 1])72 cv2.imshow('roi_right_eye', roi_parts[roi_idx + 2])73 if cv2.waitKey(1) == ord('q'):74 sys.exit(1)75# ''''''''''''''''''''' Image Code '''''''''''''''''''''''76# # org_img = cv2.imread('person.jpg')77# org_img = cv2.imread('people.jpg')78#79# if org_img is None:80# print('File Not Available')81# exit(0)82#83# org_img = cv2.resize(org_img, dsize=(img_size_width, img_size_height), interpolation=cv2.INTER_LINEAR)84# draw_img = np.zeros((org_img.shape[0], org_img.shape[1], org_img.shape[2]), np.uint8)85# gray = cv2.cvtColor(org_img, cv2.COLOR_BGR2GRAY)86# faces = detector(gray, 1)87# masked_img = np.zeros((img_size_width, img_size_height, 3), np.uint8)88# print("Number of Faces Detected: ", len(faces))89#90# roi_parts = []91#92# for face in faces:93# landmarks = predictor(gray, face)94#95# left_eye_points = []96# for i in range(36, 42):97# point = [landmarks.part(i).x, landmarks.part(i).y]98# left_eye_points.append(point)99#100# left_eye_mask = np.array(left_eye_points, dtype=np.int32)101# img_line = cv2.polylines(draw_img, [left_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)102# draw_img = cv2.fillPoly(img_line, [left_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)103#104# right_eye_points = []105# for i in range(42, 48):106# point = [landmarks.part(i).x, landmarks.part(i).y]107# right_eye_points.append(point)108#109# right_eye_mask = np.array(right_eye_points, dtype=np.int32)110# img_line = cv2.polylines(draw_img, [right_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)111# draw_img = cv2.fillPoly(img_line, [right_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)112#113# masked_img = cv2.bitwise_and(org_img, draw_img)114#115# mouth_points = []116# for i in range(48, 60):117# point = [landmarks.part(i).x, landmarks.part(i).y]118# mouth_points.append(point)119#120# mouth_mask = np.array(mouth_points, dtype=np.int32)121# img_line = cv2.polylines(draw_img, [mouth_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)122# draw_img = cv2.fillPoly(img_line, [mouth_mask], COLOR_WHITE, lineType=cv2.LINE_AA)123#124# draw_img_gray = cv2.cvtColor(draw_img, cv2.COLOR_BGR2GRAY)125# contours, hierarchy = cv2.findContours(draw_img_gray, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)126# roi_list = []127#128# for contour in contours:129# x, y, w, h = cv2.boundingRect(contour)130# roi = masked_img[y:y + h, x:x + w]131# # cv2.rectangle(draw_img, (x, y), (x + w, y + h), (0, 255, 0), 2)132# roi = cv2.resize(roi, dsize=(img_size_width // 1, img_size_height // 1), interpolation=cv2.INTER_LINEAR)133# roi_list.append(roi)134#135# if len(contours) > 2:136# roi_left_eye = roi_list[1]137# roi_right_eye = roi_list[2]138#139# if cv2.boundingRect(contours[1])[0] > cv2.boundingRect(contours[2])[0]:140# roi_left_eye = roi_list[2]141# roi_right_eye = roi_list[1]142#143# roi_parts.append(roi_list[0])144# roi_parts.append(roi_left_eye)145# roi_parts.append(roi_right_eye)146#147# if len(roi_parts) > 0 and len(roi_parts) % 3 == 0:148# for roi_idx in range(0, len(roi_parts), 3):149# save_image_file = 'roi_idx%d_mouth.jpg' % (roi_idx // 3)150# print("Save Image:", save_image_file)151# cv2.imwrite(save_image_file, roi_parts[roi_idx])152#153# save_image_file = 'roi_idx%d_left_eye.jpg' % (roi_idx // 3)154# print("Save Image:", save_image_file)155# cv2.imwrite(save_image_file, roi_parts[roi_idx + 1])156#157# save_image_file = 'roi_idx%d_right_eye.jpg' % (roi_idx // 3)158# print("Save Image:", save_image_file)...

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contour_eyes_mouth.py

Source:contour_eyes_mouth.py Github

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1import os2import sys3import cv24import dlib5import numpy as np6detector = dlib.get_frontal_face_detector()7predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")8COLOR_WHITE = (255, 255, 255)9img_size_width = 30010img_size_height = 30011''''''''''''''''''''' Realtime Webcam Code '''''''''''''''''''''''12cap = cv2.VideoCapture(0)13masked_img = np.zeros((img_size_width, img_size_height, 3), np.uint8)14while True:15 ret, img = cap.read()16 if not ret:17 break18 org_img = cv2.resize(img, dsize=(img_size_width, img_size_height), interpolation=cv2.INTER_LINEAR)19 draw_img = np.zeros((org_img.shape[0], org_img.shape[1], org_img.shape[2]), np.uint8)20 gray = cv2.cvtColor(org_img, cv2.COLOR_BGR2GRAY)21 faces = detector(gray, 1)22 print("Number of Faces Detected: ", len(faces))23 for face in faces:24 landmarks = predictor(gray, face)25 left_eye_points = []26 for i in range(36, 42):27 point = [landmarks.part(i).x, landmarks.part(i).y]28 left_eye_points.append(point)29 left_eye_mask = np.array(left_eye_points, dtype=np.int32)30 img_line = cv2.polylines(draw_img, [left_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)31 draw_img = cv2.fillPoly(img_line, [left_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)32 right_eye_points = []33 for i in range(42, 48):34 point = [landmarks.part(i).x, landmarks.part(i).y]35 right_eye_points.append(point)36 right_eye_mask = np.array(right_eye_points, dtype=np.int32)37 img_line = cv2.polylines(draw_img, [right_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)38 draw_img = cv2.fillPoly(img_line, [right_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)39 mouth_points = []40 for i in range(48, 60):41 point = [landmarks.part(i).x, landmarks.part(i).y]42 mouth_points.append(point)43 mouth_mask = np.array(mouth_points, dtype=np.int32)44 img_line = cv2.polylines(draw_img, [mouth_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)45 draw_img = cv2.fillPoly(img_line, [mouth_mask], COLOR_WHITE, lineType=cv2.LINE_AA)46 masked_img = cv2.bitwise_and(org_img, draw_img)47 draw_img_gray = cv2.cvtColor(draw_img, cv2.COLOR_BGR2GRAY)48 contours, hierarchy = cv2.findContours(draw_img_gray, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)49 for contour in contours:50 cv2.drawContours(draw_img, [contour], 0, (255, 0, 0), 3)51 for contour in contours:52 x, y, w, h = cv2.boundingRect(contour)53 cv2.rectangle(draw_img, (x, y), (x + w, y + h), (0, 255, 0), 2)54 cv2.imshow('org_img', org_img)55 cv2.imshow('contoured_img', draw_img)56 cv2.imshow('masked_img', masked_img)57 if cv2.waitKey(1) == ord('q'):58 sys.exit(1)59# ''''''''''''''''''''' Image Code '''''''''''''''''''''''60# # org_img = cv2.imread('person.jpg')61# org_img = cv2.imread('people.jpg')62#63# if org_img is None:64# print('File Not Available')65# exit(0)66#67# org_img = cv2.resize(org_img, dsize=(img_size_width, img_size_height), interpolation=cv2.INTER_LINEAR)68# draw_img = np.zeros((org_img.shape[0], org_img.shape[1], org_img.shape[2]), np.uint8)69# gray = cv2.cvtColor(org_img, cv2.COLOR_BGR2GRAY)70# faces = detector(gray, 1)71# print("Number of Faces Detected: ", len(faces))72#73# for face in faces:74# landmarks = predictor(gray, face)75#76# left_eye_points = []77# for i in range(36, 42):78# point = [landmarks.part(i).x, landmarks.part(i).y]79# left_eye_points.append(point)80#81# left_eye_mask = np.array(left_eye_points, dtype=np.int32)82# img_line = cv2.polylines(draw_img, [left_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)83# draw_img = cv2.fillPoly(img_line, [left_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)84#85# right_eye_points = []86# for i in range(42, 48):87# point = [landmarks.part(i).x, landmarks.part(i).y]88# right_eye_points.append(point)89#90# right_eye_mask = np.array(right_eye_points, dtype=np.int32)91# img_line = cv2.polylines(draw_img, [right_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)92# draw_img = cv2.fillPoly(img_line, [right_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)93#94# mouth_points = []95# for i in range(48, 60):96# point = [landmarks.part(i).x, landmarks.part(i).y]97# mouth_points.append(point)98#99# mouth_mask = np.array(mouth_points, dtype=np.int32)100# img_line = cv2.polylines(draw_img, [mouth_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)101# draw_img = cv2.fillPoly(img_line, [mouth_mask], COLOR_WHITE, lineType=cv2.LINE_AA)102#103# draw_img_gray = cv2.cvtColor(draw_img, cv2.COLOR_BGR2GRAY)104# contours, hierarchy = cv2.findContours(draw_img_gray, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)105#106# for contour in contours:107# cv2.drawContours(draw_img, [contour], 0, (255, 0, 0), 3)108#109# for contour in contours:110# x, y, w, h = cv2.boundingRect(contour)111# cv2.rectangle(draw_img, (x, y), (x + w, y + h), (0, 255, 0), 2)112#113# contour_dir = 'contour_img'114# if not os.path.exists(contour_dir):115# os.makedirs(contour_dir)116#117# save_image_file = "org_img.jpg"118# print("Save Image:", save_image_file)119# cv2.imwrite(contour_dir + '/' + save_image_file, org_img)120#121# save_image_file = "binary_masked.jpg"122# print("Save Image:", save_image_file)123# cv2.imwrite(contour_dir + '/' + save_image_file, draw_img_gray)124#125# save_image_file = "draw_contour.jpg"126# print("Save Image:", save_image_file)...

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masking_eyes_mouth.py

Source:masking_eyes_mouth.py Github

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1import sys2import cv23import dlib4import numpy as np5detector = dlib.get_frontal_face_detector()6predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")7COLOR_WHITE = (255, 255, 255)8img_size_width = 3009img_size_height = 30010''''''''''''''''''''' Realtime Webcam Code '''''''''''''''''''''''11cap = cv2.VideoCapture(0)12masked_img = np.zeros((img_size_width, img_size_height, 3), np.uint8)13while True:14 ret, img = cap.read()15 if not ret:16 break17 org_img = cv2.resize(img, dsize=(img_size_width, img_size_height), interpolation=cv2.INTER_LINEAR)18 draw_img = np.zeros((org_img.shape[0], org_img.shape[1], org_img.shape[2]), np.uint8)19 gray = cv2.cvtColor(org_img, cv2.COLOR_BGR2GRAY)20 faces = detector(gray, 1)21 print("Number of Faces Detected: ", len(faces))22 for face in faces:23 landmarks = predictor(gray, face)24 left_eye_points = []25 for i in range(36, 42):26 point = [landmarks.part(i).x, landmarks.part(i).y]27 left_eye_points.append(point)28 left_eye_mask = np.array(left_eye_points, dtype=np.int32)29 img_line = cv2.polylines(draw_img, [left_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)30 draw_img = cv2.fillPoly(img_line, [left_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)31 right_eye_points = []32 for i in range(42, 48):33 point = [landmarks.part(i).x, landmarks.part(i).y]34 right_eye_points.append(point)35 right_eye_mask = np.array(right_eye_points, dtype=np.int32)36 img_line = cv2.polylines(draw_img, [right_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)37 draw_img = cv2.fillPoly(img_line, [right_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)38 mouth_points = []39 for i in range(48, 60):40 point = [landmarks.part(i).x, landmarks.part(i).y]41 mouth_points.append(point)42 mouth_mask = np.array(mouth_points, dtype=np.int32)43 img_line = cv2.polylines(draw_img, [mouth_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)44 draw_img = cv2.fillPoly(img_line, [mouth_mask], COLOR_WHITE, lineType=cv2.LINE_AA)45 masked_img = cv2.bitwise_and(org_img, draw_img)46 cv2.imshow('org_img', org_img)47 cv2.imshow('draw_img', draw_img)48 cv2.imshow('masked_img', masked_img)49 if cv2.waitKey(1) == ord('q'):50 sys.exit(1)51 cv2.destroyAllWindows()52# ''''''''''''''''''''' Image Code '''''''''''''''''''''''53# # org_img = cv2.imread('person.jpg')54# org_img = cv2.imread('people.jpg')55#56# if org_img is None:57# print('File Not Available')58# exit(0)59#60# org_img = cv2.resize(org_img, dsize=(img_size_width, img_size_height), interpolation=cv2.INTER_LINEAR)61# draw_img = np.zeros((org_img.shape[0], org_img.shape[1], org_img.shape[2]), np.uint8)62# gray = cv2.cvtColor(org_img, cv2.COLOR_BGR2GRAY)63# faces = detector(gray, 1)64# print("Number of Faces Detected: ", len(faces))65#66# for face in faces:67# landmarks = predictor(gray, face)68#69# left_eye_points = []70# for i in range(36, 42):71# point = [landmarks.part(i).x, landmarks.part(i).y]72# left_eye_points.append(point)73#74# left_eye_mask = np.array(left_eye_points, dtype=np.int32)75# img_line = cv2.polylines(draw_img, [left_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)76# draw_img = cv2.fillPoly(img_line, [left_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)77#78# right_eye_points = []79# for i in range(42, 48):80# point = [landmarks.part(i).x, landmarks.part(i).y]81# right_eye_points.append(point)82#83# right_eye_mask = np.array(right_eye_points, dtype=np.int32)84# img_line = cv2.polylines(draw_img, [right_eye_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)85# draw_img = cv2.fillPoly(img_line, [right_eye_mask], COLOR_WHITE, lineType=cv2.LINE_AA)86#87# mouth_points = []88# for i in range(48, 60):89# point = [landmarks.part(i).x, landmarks.part(i).y]90# mouth_points.append(point)91#92# mouth_mask = np.array(mouth_points, dtype=np.int32)93# img_line = cv2.polylines(draw_img, [mouth_mask], True, COLOR_WHITE, thickness=2, lineType=cv2.LINE_8)94# draw_img = cv2.fillPoly(img_line, [mouth_mask], COLOR_WHITE, lineType=cv2.LINE_AA)95#96# masked_img = cv2.bitwise_and(org_img, draw_img)97#98# save_image_file = "org_img.jpg"99# print("Save Image:", save_image_file)100# cv2.imwrite(save_image_file, org_img)101#102# save_image_file = "draw_img.jpg"103# print("Save Image:", save_image_file)104# cv2.imwrite(save_image_file, draw_img)105#106# masked_img = cv2.bitwise_and(org_img, draw_img)107# save_image_file = "masked_img.jpg"108# print("Save Image:", save_image_file)...

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demo01.py

Source:demo01.py Github

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...46 url = "http:"+url47 page_urls.append(url)48 urls.append({'title': title, 'url_list': page_urls})49 return urls50def save_image_file(url, path):51 '''52 保存图像文件53 '''54 ir = requests.get(url)55 if ir.status_code == 200:56 with open(path, 'wb') as f:57 f.write(ir.content)58 f.close()59def main(offset, word):60 html = get_one_page(offset, word)61 urls = parse_one_page(html)62 # 图像文件夹不存在则创建63 root_path = word64 if not os.path.exists(root_path):65 os.mkdir(root_path)66 for i in range(len(urls)):67 print('---正在下载 %s' % urls[i]['title'])68 folder = root_path + '/' + urls[i]['title']69 if not os.path.exists(folder):70 try:71 os.mkdir(folder)72 except NotADirectoryError:73 continue74 except OSError:75 continue76 url_list = urls[i]['url_list']77 for j in range(len(url_list)):78 path = folder + '/index_' + str("%02d" % j) + '.jpg'79 if not os.path.exists(path):80 save_image_file(urls[i]['url_list'][j], path)81if __name__ == '__main__':82 # 抓取2000个图集,基本上包含全部图集83 for i in range(100):...

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