我正在应对kaggle中称为Carvana Segmentation的挑战。数据集包含5088张图像,每个图像都有一个遮罩。例如,下面是单个图像(.jpg文件)及其对应的蒙版(.gif文件)。
我能够使用cv2读取.jpg文件,但无法读取.gif文件。我用来读取.gif文件的语法是
>>> image = cv2.imread('filename.gif',cv2.IMREAD_GRAYSCALE)
当我尝试打印图像时,返回None
>>> print(image) -> None
有人可以建议其他方法吗
答案 0 :(得分:1)
遵循此仓库: https://github.com/asharma327/Read_Gif_OpenCV_Python/blob/master/gif_to_pic.py
您可以执行以下操作来读取图像
import cv2
import os
def convert_gif_to_frames(gif):
# Initialize the frame number and create empty frame list
frame_num = 0
frame_list = []
# Loop until there are frames left
while True:
try:
# Try to read a frame. Okay is a BOOL if there are frames or not
okay, frame = gif.read()
# Append to empty frame list
frame_list.append(frame)
# Break if there are no other frames to read
if not okay:
break
# Increment value of the frame number by 1
frame_num += 1
except KeyboardInterrupt: # press ^C to quit
break
return frame_list
def output_frames_as_pics(frame_list):
# Reduce the list of frames by half to make the list more managable
frame_list_reduce = frame_list[0::2]
# Get the path of the current working directory
path = os.getcwd()
# Set then name of your folder
'''Replace this name with what you want your folder name to be'''
folder_name = 'Picturebook_Pics_Kiss'
# If the folder does not exist, then make it
if not os.path.exists(path + '/' + folder_name):
os.makedirs(path + '/' + folder_name)
for frames_idx in range(len(frame_list_reduce)):
cv2.imwrite(os.path.join(path + '/' + folder_name, str(frames_idx+1) + '.png'), frame_list_reduce[frames_idx])
return
gif = cv2.VideoCapture('/home/ahmedramzy/Documents/gif/giphy.gif')
# here you can get the frames and work on it
xx = convert_gif_to_frames(gif_kiss)
# here if you want to write it on hard disk using imwrite
output_frames_as_pics(xx)
答案 1 :(得分:1)
imageio
允许读取这样的gif:
import imageio
img = imageio.imread('filename.gif')
答案 2 :(得分:0)
您不能使用imread(),没有内置的编解码器(仍然是许可证问题)[https://answers.opencv.org/question/185929/how-to-read-gif-in-python/]
由于您对python感兴趣,因此可以使用PIL所述的here库。
from PIL import Image
im = Image.open("animation.gif")
# To iterate through the entire gif
try:
while 1:
im.seek(im.tell()+1)
# do something to im
except EOFError:
pass # end of sequence