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How to use save_image_file method in Lemoncheesecake

Best Python code snippet using lemoncheesecake

split_eyes_mouth.py

Source:split_eyes_mouth.py

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)...

contour_eyes_mouth.py

Source:contour_eyes_mouth.py

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)...

masking_eyes_mouth.py

Source:masking_eyes_mouth.py

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)...

demo01.py

Source:demo01.py

...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    ä¿åå¾åæä»¶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    # å¾åæä»¶å¤¹ä¸åå¨ååå»º63    root_path = word64    if not os.path.exists(root_path):65        os.mkdir(root_path)66    for i in range(len(urls)):67        print('---æ£å¨ä¸è½½ %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    # æå2000ä¸ªå¾éï¼åºæ¬ä¸åå«å¨é¨å¾é83    for i in range(100):...

Automation Testing Tutorials

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