python连续帧图片写视频
import cv2,os
dictionary='show'
size = (1280,672)
fps=20
video=cv2.VideoWriter('demo_show.avi', cv2.cv.CV_FOURCC('M','J','P','G'), fps,size)
for i in range(5782):
name = str(i)+'.jpg'
im_path = os.path.join('/home/dlg',dictionary,name)
im = cv2.imread(im_path)
video.write(im)
print 'done'
python 用opencv检测视频中人脸
import cv2
import os
import sys
OUTPUT_DIR = './my_faces'
if not os.path.exists(OUTPUT_DIR):
os.makedirs(OUTPUT_DIR)
face_haar = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
cam = cv2.VideoCapture(0)
count = 0
while True:
print(count)
if count < 10000:
_, img = cam.read()
gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_haar.detectMultiScale(gray_image, 1.3, 5)
for face_x,face_y,face_w,face_h in faces:
face = img[face_y:face_y+face_h, face_x:face_x+face_w]
face = cv2.resize(face, (64, 64))
cv2.imshow('img', face)
cv2.imwrite(os.path.join(OUTPUT_DIR, str(count)+'.jpg'), face)
count += 1
key = cv2.waitKey(30) & 0xff
if key == 27:
break
else:
break
用python requests模块下载数据
import requests
import tarfile
url = 'http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz'
save_path = "my_path"
if not os.path.exists(save_path):
os.makedirs(save_path)
filename = "save_file"
filepath = os.path.join(save_path, filename)
# 下载
if not os.path.exists(filepath):
print("downloading...", filename)
r = requests.get(url)
with open(filepath, 'wb') as f:
f.write(r.content)
# 解压
tarfile.open(filepath, 'r:gz').extractall(filepath)
python opencv3 跟踪API
import cv2
import sys
if __name__ == '__main__' :
# Set up tracker.
# Instead of MIL, you can also use
# BOOSTING, KCF, TLD, MEDIANFLOW or GOTURN
tracker = cv2.Tracker_create("MIL")
# Read video
video = cv2.VideoCapture("1.mp4")
# Exit if video not opened.
if not video.isOpened():
print "Could not open video"
sys.exit()
# Read first frame.
ok, frame = video.read()
if not ok:
print 'Cannot read video file'
sys.exit()
# Define an initial bounding box
#bbox = (287, 23, 86, 320)
# Uncomment the line below to select a different bounding box
bbox = cv2.selectROI(frame, False)
# Initialize tracker with first frame and bounding box
ok = tracker.init(frame, bbox)
while True:
# Read a new frame
ok, frame = video.read()
if not ok:
break
# Update tracker
ok, bbox = tracker.update(frame)
# Draw bounding box
if ok:
p1 = (int(bbox[0]), int(bbox[1]))
p2 = (int(bbox[0] + bbox[2]), int(bbox[1] + bbox[3]))
cv2.rectangle(frame, p1, p2, (0,0,255))
# Display result
cv2.imshow("Tracking", frame)
# Exit if ESC pressed
k = cv2.waitKey(1) & 0xff
if k == 27 : break
python opencv 画图
#!/usr/bin/env python
import numpy as np
import cv2
img = np.zeros((512,512,3), np.uint8)
cv2.line(img, (0,0), (511, 511), (255,0,0), 5) #line color (BGR)
cv2.rectangle(img, (384,0), (510, 128), (0, 255, 0), 3)
cv2.circle(img, (447, 63), 63, (0,0,255), -1) #linewidth -1 means fill circle using setted color
cv2.ellipse(img, (256,256), (100,50),45,0,270,(0,0,255),-1) #椭圆的第二个参数是椭圆中心，第三个参数是椭圆长轴和短轴对应的长度，第四个参数45是顺时针旋转45度， 第五个参数是从0度开始，顺时针画270的弧，第七个参数是颜色，最后一个是用颜色填充椭圆内部
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img, 'Hello', (10,500), font, 4, (255,255,255), 2)
cv2.imshow('image', img)
cv2.waitKey(0)