本文整理汇总了Python中cv2.imwrite方法的典型用法代码示例。如果您正苦于以下问题：Python cv2.imwrite方法的具体用法？Python cv2.imwrite怎么用？Python cv2.imwrite使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在模块cv2的用法示例。

在下文中一共展示了cv2.imwrite方法的28个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: main

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def main():

imagePath = "img.jpg"

img = cv2.imread(imagePath)

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

generate_histogram(gray)

cv2.imwrite("before.jpg", gray)

gray = cv2.equalizeHist(gray)

generate_histogram(gray)

cv2.imwrite("after.jpg",gray)

return 0

开发者ID:felipecorrea，项目名称:pedestrian-haar-based-detector，代码行数:19，

示例2: saveimageWithMask

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def saveimageWithMask(img, outname, mask_poly):

dstimg = copy.deepcopy(img)

for mask in mask_poly:

bound = mask.bounds

if (len(bound) < 4):

continue

xmin, ymin, xmax, ymax = bound[0], bound[1], bound[2], bound[3]

for x in range(int(xmin), int(xmax)):

for y in range(int(ymin), int(ymax)):

point = shgeo.Point(x, y)

if point.within(mask):

#print('withing')

dstimg[int(y)][int(x)] = 0

cv2.imwrite(outname, dstimg)

开发者ID:ringringyi，项目名称:DOTA_models，代码行数:19，

示例3: _lapulaseDetection

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def _lapulaseDetection(self, imgName):

"""

:param strdir: 文件所在的目录

:param name: 文件名称

:return: 检测模糊后的分数

"""

# step1: 预处理

img2gray, reImg = self.preImgOps(imgName)

# step2: laplacian算子 获取评分

resLap = cv2.Laplacian(img2gray, cv2.CV_64F)

score = resLap.var()

print("Laplacian %s score of given image is %s", str(score))

# strp3: 绘制图片并保存 不应该写在这里 抽象出来 这是共有的部分

newImg = self._drawImgFonts(reImg, str(score))

newDir = self.strDir + "/_lapulaseDetection_/"

if not os.path.exists(newDir):

os.makedirs(newDir)

newPath = newDir + imgName

# 显示

cv2.imwrite(newPath, newImg) # 保存图片

cv2.imshow(imgName, newImg)

cv2.waitKey(0)

# step3: 返回分数

return score

开发者ID:Leezhen2014，项目名称:python--，代码行数:27，

示例4: visual

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def visual(title, X, activation):

'''create a grid of images and save it as a final image

title : grid image name

X : array of images

'''

assert len(X.shape) == 4

X = X.transpose((0, 2, 3, 1))

if activation == 'sigmoid':

X = np.clip((X)*(255.0), 0, 255).astype(np.uint8)

elif activation == 'tanh':

X = np.clip((X+1.0)*(255.0/2.0), 0, 255).astype(np.uint8)

n = np.ceil(np.sqrt(X.shape[0]))

buff = np.zeros((int(n*X.shape[1]), int(n*X.shape[2]), int(X.shape[3])), dtype=np.uint8)

for i, img in enumerate(X):

fill_buf(buff, i, img, X.shape[1:3])

cv2.imwrite('%s.jpg' % (title), buff)

开发者ID:awslabs，项目名称:dynamic-training-with-apache-mxnet-on-aws，代码行数:19，

示例5: convert_images2bmp

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def convert_images2bmp():

# cv2.imread() jpg at 230 img/s, *.bmp at 400 img/s

for path in ['../coco/images/val2014/', '../coco/images/train2014/']:

folder = os.sep + Path(path).name

output = path.replace(folder, folder + 'bmp')

if os.path.exists(output):

shutil.rmtree(output) # delete output folder

os.makedirs(output) # make new output folder

for f in tqdm(glob.glob('%s*.jpg' % path)):

save_name = f.replace('.jpg', '.bmp').replace(folder, folder + 'bmp')

cv2.imwrite(save_name, cv2.imread(f))

for label_path in ['../coco/trainvalno5k.txt', '../coco/5k.txt']:

with open(label_path, 'r') as file:

lines = file.read()

lines = lines.replace('2014/', '2014bmp/').replace('.jpg', '.bmp').replace(

'/Users/glennjocher/PycharmProjects/', '../')

with open(label_path.replace('5k', '5k_bmp'), 'w') as file:

file.write(lines)

开发者ID:zbyuan，项目名称:pruning_yolov3，代码行数:22，

示例6: crop_images_random

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def crop_images_random(path='../images/', scale=0.50): # from utils.utils import *; crop_images_random()

# crops images into random squares up to scale fraction

# WARNING: overwrites images!

for file in tqdm(sorted(glob.glob('%s/*.*' % path))):

img = cv2.imread(file) # BGR

if img is not None:

h, w = img.shape[:2]

# create random mask

a = 30 # minimum size (pixels)

mask_h = random.randint(a, int(max(a, h * scale))) # mask height

mask_w = mask_h # mask width

# box

xmin = max(0, random.randint(0, w) - mask_w // 2)

ymin = max(0, random.randint(0, h) - mask_h // 2)

xmax = min(w, xmin + mask_w)

ymax = min(h, ymin + mask_h)

# apply random color mask

cv2.imwrite(file, img[ymin:ymax, xmin:xmax])

开发者ID:zbyuan，项目名称:pruning_yolov3，代码行数:23，

示例7: test

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def test(test_loader, model, logger=None, Writer=None):

model.eval()

with torch.no_grad():

for its, (img_line, img_noise) in enumerate(test_loader):

img_line = img_line.cuda() if torch.cuda.is_available() else img_line

img_noise = img_noise.cuda() if torch.cuda.is_available() else img_noise

g_results = model(torch.cat((img_line, img_noise), 1))

for i in range(img_line.shape[0]):

img_line_test = img_line[i].cpu().numpy().transpose((1,2,0)) * 255

img_line_test = img_line_test.squeeze()

cv2.imwrite((cfg.PATH.RES_TEST+"line_{}.jpg".format(i+its)), img_line_test)

img_res_test = g_results[i].cpu().numpy().transpose((1,2,0)) * 255

cv2.imwrite((cfg.PATH.RES_TEST+"res_{}.jpg".format(i+its)), img_res_test)

print("{}/{}".format(i+its,its_num))

开发者ID:HaiyangLiu1997，项目名称:Pytorch-Networks，代码行数:18，

示例8: on_epoch_end

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def on_epoch_end(self, epoch, logs=None):

if self.tiny:

anchors = yolo_tiny_anchors

masks = yolo_tiny_anchor_masks

else:

anchors = yolo_anchors

masks = yolo_anchor_masks

model = make_eval_model_from_trained_model(self.model, anchors, masks)

epoch_dir = os.path.join(self.result_dir, str(epoch))

os.makedirs(epoch_dir)

for batch, (images, labels) in enumerate(self.dataset):

images = images.numpy()

for i in range(images.shape[0]):

boxes, scores, classes = model.predict(images[i:i + 1, ...])

img_for_this = (images[i, ...] * 255).astype(np.uint8)

boxes_for_this, scores_for_this, classes_for_this = boxes[0, ...], scores[0, ...], classes[0, ...]

img_for_this = draw_outputs(img_for_this, (boxes_for_this, scores_for_this, classes_for_this))

cv2.imwrite(os.path.join(epoch_dir, '{0}.jpg'.format(uuid.uuid4())), img_for_this)

if batch == self.num_batches:

break

开发者ID:akkaze，项目名称:tf2-yolo3，代码行数:26，

示例9: _blurDetection

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def _blurDetection(self, imgName):

# step 1 图像的预处理

img2gray, reImg = self.preImgOps(imgName)

imgMat=self._imageToMatrix(img2gray)/255.0

x, y = imgMat.shape

score = 0

for i in range(x - 2):

for j in range(y - 2):

score += (imgMat[i + 2, j] - imgMat[i, j]) ** 2

# step3: 绘制图片并保存 不应该写在这里 抽象出来 这是共有的部分

score=score/10

newImg = self._drawImgFonts(reImg, str(score))

newDir = self.strDir + "/_blurDetection_/"

if not os.path.exists(newDir):

os.makedirs(newDir)

newPath = newDir + imgName

cv2.imwrite(newPath, newImg) # 保存图片

cv2.imshow(imgName, newImg)

cv2.waitKey(0)

return score

开发者ID:Leezhen2014，项目名称:python--，代码行数:23，

示例10: _SMDDetection

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def _SMDDetection(self, imgName):

# step 1 图像的预处理

img2gray, reImg = self.preImgOps(imgName)

f=self._imageToMatrix(img2gray)/255.0

x, y = f.shape

score = 0

for i in range(x - 1):

for j in range(y - 1):

score += np.abs(f[i+1,j]-f[i,j])+np.abs(f[i,j]-f[i+1,j])

# strp3: 绘制图片并保存 不应该写在这里 抽象出来 这是共有的部分

score=score/100

newImg = self._drawImgFonts(reImg, str(score))

newDir = self.strDir + "/_SMDDetection_/"

if not os.path.exists(newDir):

os.makedirs(newDir)

newPath = newDir + imgName

cv2.imwrite(newPath, newImg) # 保存图片

cv2.imshow(imgName, newImg)

cv2.waitKey(0)

return score

开发者ID:Leezhen2014，项目名称:python--，代码行数:23，

示例11: _SMD2Detection

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def _SMD2Detection(self, imgName):

"""

灰度方差乘积

:param imgName:

:return:

"""

# step 1 图像的预处理

img2gray, reImg = self.preImgOps(imgName)

f=self._imageToMatrix(img2gray)/255.0

x, y = f.shape

score = 0

for i in range(x - 1):

for j in range(y - 1):

score += np.abs(f[i+1,j]-f[i,j])*np.abs(f[i,j]-f[i,j+1])

# strp3: 绘制图片并保存 不应该写在这里 抽象出来 这是共有的部分

score=score

newImg = self._drawImgFonts(reImg, str(score))

newDir = self.strDir + "/_SMD2Detection_/"

if not os.path.exists(newDir):

os.makedirs(newDir)

newPath = newDir + imgName

cv2.imwrite(newPath, newImg) # 保存图片

cv2.imshow(imgName, newImg)

cv2.waitKey(0)

return score

开发者ID:Leezhen2014，项目名称:python--，代码行数:27，

示例12: _Variance

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def _Variance(self, imgName):

"""

灰度方差乘积

:param imgName:

:return:

"""

# step 1 图像的预处理

img2gray, reImg = self.preImgOps(imgName)

f = self._imageToMatrix(img2gray)

# strp3: 绘制图片并保存 不应该写在这里 抽象出来 这是共有的部分

score = np.var(f)

newImg = self._drawImgFonts(reImg, str(score))

newDir = self.strDir + "/_Variance_/"

if not os.path.exists(newDir):

os.makedirs(newDir)

newPath = newDir + imgName

cv2.imwrite(newPath, newImg) # 保存图片

cv2.imshow(imgName, newImg)

cv2.waitKey(0)

return score

开发者ID:Leezhen2014，项目名称:python--，代码行数:23，

示例13: make_edge_smooth

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def make_edge_smooth(dataset_name, img_size) :

check_folder('./dataset/{}/{}'.format(dataset_name, 'trainB_smooth'))

file_list = glob('./dataset/{}/{}/*.*'.format(dataset_name, 'trainB'))

save_dir = './dataset/{}/trainB_smooth'.format(dataset_name)

kernel_size = 5

kernel = np.ones((kernel_size, kernel_size), np.uint8)

gauss = cv2.getGaussianKernel(kernel_size, 0)

gauss = gauss * gauss.transpose(1, 0)

for f in tqdm(file_list) :

file_name = os.path.basename(f)

bgr_img = cv2.imread(f)

gray_img = cv2.imread(f, 0)

bgr_img = cv2.resize(bgr_img, (img_size, img_size))

pad_img = np.pad(bgr_img, ((2, 2), (2, 2), (0, 0)), mode='reflect')

gray_img = cv2.resize(gray_img, (img_size, img_size))

edges = cv2.Canny(gray_img, 100, 200)

dilation = cv2.dilate(edges, kernel)

gauss_img = np.copy(bgr_img)

idx = np.where(dilation != 0)

for i in range(np.sum(dilation != 0)):

gauss_img[idx[0][i], idx[1][i], 0] = np.sum(

np.multiply(pad_img[idx[0][i]:idx[0][i] + kernel_size, idx[1][i]:idx[1][i] + kernel_size, 0], gauss))

gauss_img[idx[0][i], idx[1][i], 1] = np.sum(

np.multiply(pad_img[idx[0][i]:idx[0][i] + kernel_size, idx[1][i]:idx[1][i] + kernel_size, 1], gauss))

gauss_img[idx[0][i], idx[1][i], 2] = np.sum(

np.multiply(pad_img[idx[0][i]:idx[0][i] + kernel_size, idx[1][i]:idx[1][i] + kernel_size, 2], gauss))

cv2.imwrite(os.path.join(save_dir, file_name), gauss_img)

开发者ID:taki0112，项目名称:CartoonGAN-Tensorflow，代码行数:37，

示例14: loop2

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def loop2(self,text,w=1280,h=720):

cap = cv2.VideoCapture(int(text))

cap.set(6 ,cv2.VideoWriter_fourcc('M', 'J', 'P', 'G') );

global capnum2

capnum2 = int(text)

cap.set(3,w);

cap.set(4,h);

global update2

update2 = 1

global shotmark2

while (update2 == 1):

ret, frame = cap.read()

if shotmark2 == 1:

fn = self.lineEdit.text()

name = "photo/2_"+fn + "video.jpg"

if os.path.exists(name):

name = "photo/2_" + fn + "video"+str(int(time.time()))+".jpg"

cv2.imwrite(name, frame)

shotmark2 = 0

frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

self.original2_image.updateImage(frame)

# cap.release()

cv_img_rgb = np.zeros((700,700,3))

self.original2_image.updateImage(cv_img_rgb)

开发者ID:anonymouslycn，项目名称:bjtu_BinocularCameraRecord，代码行数:27，

示例15: degrade_images_in_folder

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def degrade_images_in_folder(

folder,

dst_folder_suffix,

LIGHTDOWN=True,

UNBALANCECOLOR=True,):

import os

js = os.listdir(folder)

dst_folder = folder + '-' + dst_folder_suffix

try:

os.mkdir(dst_folder)

except:

print('dir exist!')

print('in ' + dst_folder)

num = 3

for j in js:

img = cv2.imread(folder + '/' + j) / 255.

if LIGHTDOWN:

for _ in range(num - 1):

out = pow(img, np.random.uniform(0.4, 0.6)) * np.random.uniform(

0.25, 0.5)

cv2.imwrite(dst_folder + '/' + ('L%d-' % _) + j, out * 255.)

out = img * img

out = out * (1.0 / out.max())

cv2.imwrite(dst_folder + '/' + ('L%d-' % num) + j, out * 255.)

if UNBALANCECOLOR:

filter = WB2()

outs = np.array([img] * num)

features = np.abs(np.random.rand(num, 3))

for _, out in enumerate(

filter.process(outs, filter.filter_param_regressor(features))):

# print out.max()

out /= out.max()

out *= np.random.uniform(0.7, 1)

cv2.imwrite(dst_folder + '/' + ('C%d-' % _) + j, out * 255.)

开发者ID:yuanming-hu，项目名称:exposure，代码行数:36，

示例16: vis_images_and_indexs

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def vis_images_and_indexs(images, features, dir, name):

# indexs = np.reshape(indexs, (len(indexs),))

# print('visualizing images and indexs: ', images.shape, indexs.shape)

id_imgs = []

for feature in features:

img = np.ones((64, 64, 3))

cv2.putText(img,

str(feature), (4, 33), cv2.FONT_HERSHEY_SIMPLEX, 0.25,

(1.0, 0.0, 0.0))

id_imgs.append(img)

id_imgs = np.stack(id_imgs, axis=0)

# print('id imgs: ', id_imgs.shape)

vis_imgs = np.vstack([images, id_imgs])

image = make_image_grid(vis_imgs, per_row=images.shape[0])

vis_dir = dir

try:

os.mkdir(vis_dir)

except:

pass

cv2.imwrite(os.path.join(vis_dir, name + '.png'), image[:, :, ::-1] * 255.0)

开发者ID:yuanming-hu，项目名称:exposure，代码行数:23，

示例17: test_motion

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def test_motion():

image = cv2.imread("./imgs/image.jpeg")

print(image.shape)

detector = Detector_Motion()

image2 = cv2.imread("./imgs/image_box.jpg")

print(image2.shape)

assert image.shape == image2.shape

image2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)

image2 = cv2.GaussianBlur(image2, (21, 21), 0)

detector.avg = image2.astype(float)

output = detector.prediction(image)

df = detector.filter_prediction(output, image)

image = detector.draw_boxes(image, df)

print(df)

assert df.shape[0] == 1

cv2.imwrite("./imgs/outputcv.jpg", image)

开发者ID:cristianpb，项目名称:object-detection，代码行数:22，

示例18: CaptureContinous

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def CaptureContinous(self, detector):

cap = cv2.VideoCapture(0)

_, image = cap.read()

cap.release()

output = detector.prediction(image)

df = detector.filter_prediction(output, image)

if len(df) > 0:

if (df['class_name']

.str

.contains('person|bird|cat|wine glass|cup|sandwich')

.any()):

day = datetime.now().strftime("%Y%m%d")

directory = os.path.join(IMAGE_FOLDER, 'webcam', day)

if not os.path.exists(directory):

os.makedirs(directory)

image = detector.draw_boxes(image, df)

classes = df['class_name'].unique().tolist()

hour = datetime.now().strftime("%H%M%S")

filename_output = os.path.join(

directory, "{}_{}_.jpg".format(hour, "-".join(classes))

)

cv2.imwrite(filename_output, image)

开发者ID:cristianpb，项目名称:object-detection，代码行数:24，

示例19: extract_faces

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def extract_faces(emotions):

"""

Crops faces in emotions images.

:param emotions: List of emotions names.

"""

print("Extracting faces")

for emotion in emotions:

photos = glob.glob('data/sorted_set/%s/*' % emotion)

for file_number, photo in enumerate(photos):

frame = cv2.imread(photo)

normalized_faces = find_faces(frame)

os.remove(photo)

for face in normalized_faces:

try:

cv2.imwrite("data/sorted_set/%s/%s.png" % (emotion, file_number + 1), face[0]) # write image

except:

print("error in processing %s" % photo)

开发者ID:PiotrDabrowskey，项目名称:facemoji，代码行数:21，

示例20: func1

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def func1(k=None):

if not k:

k=randint(0, 20)

print('image is',k)

for i, (img, heatmap,vecmap,depthmap,kpt_3d) in enumerate(train_loader):

if i==k:

# test_heatmaps(heatmap,img,i)

# test_vecmaps(vecmap,img,i)

# edges = [[0, 1], [1, 2], [2, 6], [6, 3], [3, 4], [4, 5], [10, 11], [11, 12], [12, 8], [8, 13], [13, 14], [14, 15], [6, 8], [8, 9]]

# ppl=kpt_3d.shape[0]

# for i in range(ppl):

# for edge in edges:

# cv2.line(img,(int(kpt_3d[i][edge[0]][0]),int(kpt_3d[i][edge[0]][1])),(int(kpt_3d[i][edge[1]][0]),int(kpt_3d[i][edge[1]][1])),(0,255,0))

# cv2.imwrite('outside3dfinal.png',img)

return img,heatmap,vecmap,depthmap,kpt_3d

开发者ID:Naman-ntc，项目名称:3D-HourGlass-Network，代码行数:18，代码来源:my.py

示例21: undistort_images

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def undistort_images(src, dst):

"""

undistort the images in src folder to dst folder

"""

# load dst, mtx

pickle_file = open("../camera_cal/camera_cal.p", "rb")

dist_pickle = pickle.load(pickle_file)

mtx = dist_pickle["mtx"]

dist = dist_pickle["dist"]

pickle_file.close()

# loop the image folder

image_files = glob.glob(src+"*.jpg")

for idx, file in enumerate(image_files):

print(file)

img = mpimg.imread(file)

image_dist = cv2.undistort(img, mtx, dist, None, mtx)

file_name = file.split("\\")[-1]

print(file_name)

out_image = dst+file_name

print(out_image)

image_dist = cv2.cvtColor(image_dist, cv2.COLOR_RGB2BGR)

cv2.imwrite(out_image, image_dist)

开发者ID:ChengZhongShen，项目名称:Advanced_Lane_Lines，代码行数:25，

示例22: wrap_images

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def wrap_images(src, dst):

"""

apply the wrap to images

"""

# load M, Minv

img_size = (1280, 720)

pickle_file = open("../helper/trans_pickle.p", "rb")

trans_pickle = pickle.load(pickle_file)

M = trans_pickle["M"]

Minv = trans_pickle["Minv"]

# loop the file folder

image_files = glob.glob(src+"*.jpg")

for idx, file in enumerate(image_files):

print(file)

img = mpimg.imread(file)

image_wraped = cv2.warpPerspective(img, M, img_size, flags=cv2.INTER_LINEAR)

file_name = file.split("\\")[-1]

print(file_name)

out_image = dst+file_name

print(out_image)

# no need to covert RGB to BGR since 3 channel is same

image_wraped = cv2.cvtColor(image_wraped, cv2.COLOR_RGB2BGR)

cv2.imwrite(out_image, image_wraped)

开发者ID:ChengZhongShen，项目名称:Advanced_Lane_Lines，代码行数:25，

示例23: test_thresh_images

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def test_thresh_images(src, dst, s_thresh, sx_thresh):

"""

apply the thresh to images in a src folder and output to dst foler

"""

image_files = glob.glob(src+"*.jpg")

for idx, file in enumerate(image_files):

print(file)

img = mpimg.imread(file)

image_threshed = color_grid_thresh(img, s_thresh=s_thresh, sx_thresh=sx_thresh)

file_name = file.split("\\")[-1]

print(file_name)

out_image = dst+file_name

print(out_image)

# convert binary to RGB, *255, to visiual, 1 will not visual after write to file

image_threshed = cv2.cvtColor(image_threshed*255, cv2.COLOR_GRAY2RGB)

cv2.imwrite(out_image, image_threshed)

开发者ID:ChengZhongShen，项目名称:Advanced_Lane_Lines，代码行数:18，

示例24: test_yellow_grid_thresh_images

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def test_yellow_grid_thresh_images(src, dst, y_low=(10,50,0), y_high=(30,255,255), sx_thresh=(20, 100)):

"""

apply the thresh to images in a src folder and output to dst foler

"""

image_files = glob.glob(src+"*.jpg")

for idx, file in enumerate(image_files):

print(file)

img = mpimg.imread(file)

image_threshed = yellow_grid_thresh(img, y_low, y_high, sx_thresh)

file_name = file.split("\\")[-1]

print(file_name)

out_image = dst+file_name

print(out_image)

# convert binary to RGB, *255, to visiual, 1 will not visual after write to file

image_threshed = cv2.cvtColor(image_threshed*255, cv2.COLOR_GRAY2RGB)

cv2.imwrite(out_image, image_threshed)

开发者ID:ChengZhongShen，项目名称:Advanced_Lane_Lines，代码行数:19，

示例25: test_yellow_white_thresh_images

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def test_yellow_white_thresh_images(src, dst, y_low=(10,50,0), y_high=(30,255,255), w_low=(180,180,180), w_high=(255,255,255)):

"""

apply the thresh to images in a src folder and output to dst foler

"""

image_files = glob.glob(src+"*.jpg")

for idx, file in enumerate(image_files):

print(file)

img = mpimg.imread(file)

image_threshed = yellow_white_thresh(img, y_low, y_high, w_low, w_high)

file_name = file.split("\\")[-1]

print(file_name)

out_image = dst+file_name

print(out_image)

# convert binary to RGB, *255, to visiual, 1 will not visual after write to file

image_threshed = cv2.cvtColor(image_threshed*255, cv2.COLOR_GRAY2RGB)

# HSV = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)

# V = HSV[:,:,2]

# brightness = np.mean(V)

# info_str = "brightness is: {}".format(int(brightness))

# cv2.putText(image_threshed, info_str, (50,700), cv2.FONT_HERSHEY_SIMPLEX,2,(0,255,255),2)

cv2.imwrite(out_image, image_threshed)

开发者ID:ChengZhongShen，项目名称:Advanced_Lane_Lines，代码行数:26，

示例26: main

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def main():

#IMG PATHS

imagePath = "test3.jpg"

cascPath = "cascades/haarcascade_pedestrian.xml"

pplCascade = cv2.CascadeClassifier(cascPath)

image = cv2.imread(imagePath)

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

gray = normalize_grayimage(gray)

pedestrians = pplCascade.detectMultiScale(

gray,

scaleFactor=1.2,

minNeighbors=10,

minSize=(32,96),

flags = cv2.cv.CV_HAAR_SCALE_IMAGE

)

print "Found {0} ppl!".format(len(pedestrians))

#Draw a rectangle around the detected objects

for (x, y, w, h) in pedestrians:

cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imwrite("saida.jpg", image)

cv2.imshow("Ppl found", image)

cv2.waitKey(0)

return 0

开发者ID:felipecorrea，项目名称:pedestrian-haar-based-detector，代码行数:32，

示例27: main

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def main():

parser = argparse.ArgumentParser()

parser.add_argument("font_path", help="Path to ttf font file")

parser.add_argument("output", help="Output filename including extension (e.g. 'sample.jpg')")

parser.add_argument("--num", help="Up to 4 digit number [Default: random]")

args = parser.parse_args()

captcha = ImageCaptcha(fonts=[args.font_path])

captcha_str = args.num if args.num else DigitCaptcha.get_rand(3, 4)

img = captcha.generate(captcha_str)

img = np.fromstring(img.getvalue(), dtype='uint8')

img = cv2.imdecode(img, cv2.IMREAD_GRAYSCALE)

cv2.imwrite(args.output, img)

print("Captcha image with digits {} written to {}".format([int(c) for c in captcha_str], args.output))

开发者ID:awslabs，项目名称:dynamic-training-with-apache-mxnet-on-aws，代码行数:16，

示例28: ImgFormT

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# 需要导入模块: import cv2 [as 别名]

# 或者: from cv2 import imwrite [as 别名]

def ImgFormT(srcpath, dstpath, srcform, dstform):

namelist = GetFileFromThisRootDir(srcpath, srcform)

for imgname in namelist:

src = cv2.imread(imgname)

basename = os.path.splitext(os.path.basename(imgname))[0]

cv2.imwrite(os.path.join(dstpath, basename + dstform), src)

开发者ID:ringringyi，项目名称:DOTA_models，代码行数:8，

注：本文中的cv2.imwrite方法示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。