我一直在处理静止图像而没有错误。
当我尝试运行以下代码进行视频处理时，我收到错误：
OS Error: cannot identify image file 'solidWhiteRight.mp4'
然后我无法继续。
任何人都能找出导致错误的原因吗？
OSError: cannot identify image file 'solidWhiteRight.mp4'
OSError Traceback (most recent call last)
<ipython-input-85-8871a0549a09> in <module>()
1 white_output = 'white.mp4'
2 clip1 = VideoFileClip('solidWhiteRight.mp4')
----> 3 white_clip = clip1.fl_image(process_image) #NOTE: this function expects color images!!
4 get_ipython().magic('time white_clip.write_videofile(white_output, audio=False)')
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/video/VideoClip.py in fl_image(self, image_func, apply_to)
512 `get_frame(t)` by another frame, `image_func(get_frame(t))`
513 """
--> 514 return self.fl(lambda gf, t: image_func(gf(t)), apply_to)
515
516 # --------------------------------------------------------------
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/Clip.py in fl(self, fun, apply_to, keep_duration)
134
135 #mf = copy(self.make_frame)
--> 136 newclip = self.set_make_frame(lambda t: fun(self.get_frame, t))
137
138 if not keep_duration:
<decorator-gen-178> in set_make_frame(self, mf)
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/decorators.py in outplace(f, clip, *a, **k)
12 """ Applies f(clip.copy(), *a, **k) and returns clip.copy()"""
13 newclip = clip.copy()
---> 14 f(newclip, *a, **k)
15 return newclip
16
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/video/VideoClip.py in set_make_frame(self, mf)
652 """
653 self.make_frame = mf
--> 654 self.size = self.get_frame(0).shape[:2][::-1]
655
656
<decorator-gen-135> in get_frame(self, t)
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/decorators.py in wrapper(f, *a, **kw)
87 new_kw = {k: fun(v) if k in varnames else v
88 for (k,v) in kw.items()}
---> 89 return f(*new_a, **new_kw)
90 return decorator.decorator(wrapper)
91
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/Clip.py in get_frame(self, t)
93 return frame
94 else:
---> 95 return self.make_frame(t)
96
97 def fl(self, fun, apply_to=[] , keep_duration=True):
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/Clip.py in <lambda>(t)
134
135 #mf = copy(self.make_frame)
--> 136 newclip = self.set_make_frame(lambda t: fun(self.get_frame, t))
137
138 if not keep_duration:
/home/michael/anaconda3/lib/python3.5/site-packages/moviepy/video/VideoClip.py in <lambda>(gf, t)
512 `get_frame(t)` by another frame, `image_func(get_frame(t))`
513 """
--> 514 return self.fl(lambda gf, t: image_func(gf(t)), apply_to)
515
516 # --------------------------------------------------------------
<ipython-input-84-5748bb68776c> in process_image(image)
6 #Read in image
7 #Grayscale the image
----> 8 image = mpimg.imread('solidWhiteRight.mp4')
9 gray = cv2.cvtColor(image,cv2.COLOR_RGB2GRAY)
10
/home/michael/anaconda3/lib/python3.5/site-packages/matplotlib/image.py in imread(fname, format)
1304
1305 if ext not in handlers:
-> 1306 im = pilread(fname)
1307 if im is None:
1308 raise ValueError('Only know how to handle extensions: %s; '
/home/michael/anaconda3/lib/python3.5/site-packages/matplotlib/image.py in pilread(fname)
1282 except ImportError:
1283 return None
-> 1284 image = Image.open(fname)
1285 return pil_to_array(image)
1286
/home/michael/anaconda3/lib/python3.5/site-packages/PIL/Image.py in open(fp, mode)
2315
2316 raise IOError("cannot identify image file %r"
-> 2317 % (filename if filename else fp))
2318
2319 #
OSError: cannot identify image file 'solidWhiteRight.mp4'
视频处理代码：
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2
%matplotlib inline
import os
os.listdir()
from moviepy.editor import VideoFileClip
def process_image(image):
# The output you return should be a color image (3 channel) for processing video below
# TODO: put your pipeline here,
# you should return the final output (image with lines are drawn on lanes)
#Read in image
#Grayscale the image
image = mpimg.imread(solidWhiteRight.mp4)
gray = cv2.cvtColor(image,cv2.COLOR_RGB2GRAY)
#Define a kernel size and apply Gaussian smoothing (blurring)
kernel_size = 5
blur_gray = cv2.GaussianBlur(gray,(kernel_size,kernel_size),0)
#Define the parameters for the Canny edge detection algorithm and apply
low_threshold = 50
high_threshold = 250
edges = cv2.Canny(blur_gray, low_threshold, high_threshold)
#Create a "masked edges" image using cv2.fillPoly()
mask = np.zeros_like(edges)
ignore_mask_color = 255
#Define a four-side polygon to mask the image
imshape = image.shape
vertices = np.array([[(0, imshape[0]),(450,290),(490, 290),(imshape[1],imshape[0])]], dtype=np.int32)
cv2.fillPoly(mask, vertices, ignore_mask_color)
masked_edges = cv2.bitwise_and(edges,mask)
#Define the Hough transform parameters
#Make a blank the same size as our image to draw on
rho = 2 #Distance resolution in pixels of the Hough grid
theta = np.pi/180 #Angular resolution in radians of the Hough grid
threshold = 15 #Minimum number of votes (intersections in Hough grid cell)
min_line_length = 40 #Minimum number of pixels making up a line
max_line_gap = 20 #Maximum gap in pixels between connectable line segments
line_image = np.copy(image)*0 #Creating a blank to draw lines on
#Run Hough on edge detected image
#Output "lines" is an array containing endpoints of detected line segments
lines = cv2.HoughLinesP(masked_edges, rho, theta, threshold, np.array([]),
min_line_length, max_line_gap)
#Iterate over the output "lines' and draw lines on a blank image
for line in lines:
for x1,y1,x2,y2 in line:
cv2.line(line_image,(x1,y1),(x2,y2),(255,0,0),10)
#Create a "color" binary image to combine with the line image
color_edges = np.dstack((edges, edges, edges))
#Draw the lines on the edge image
lines_edges = cv2.addWeighted(color_edges, 0.8, line_image, 1, 0)
return line_edges
#Solid white first
white_output = 'white.mp4'
clip1 = VideoFileClip("solidWhiteRight.mp4")
white_clip = clip1.fl_image(process_image) #NOTE: this function expects color images!!
%time white_clip.write_videofile(white_output, audio=False)
#Play video inline
HTML("""
<video width="960" height="540" controls>
<source src="{0}">
</video>
""".format(white_output))
错误：操作系统错误：无法识别图像文件'solidWhiteRight.mp4'
答案 0 :(得分：0)
答案是：
第8行： image = mpimg.imread（solidWhiteRight.mp4）
正在尝试处理静止图像文件。如果你评论出来， 代码运行正常。