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import cv2 | ||
import os | ||
import pytesseract | ||
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def get_property(path_to_video) : | ||
""" | ||
Computes properties given the path of the video | ||
Parameters | ||
---------- | ||
path_to_video - path to the mp4 file | ||
Returns | ||
------- | ||
fps - frames per second | ||
frames - total frames in video | ||
width - width of the frame | ||
height - height of the frame | ||
""" | ||
video = cv2.VideoCapture(path_to_video) | ||
fps = video.get(cv2.CAP_PROP_FPS) | ||
width = video.get(cv2.CAP_PROP_FRAME_WIDTH) | ||
height = video.get(cv2.CAP_PROP_FRAME_HEIGHT) | ||
frames = video.get(cv2.CAP_PROP_FRAME_COUNT) | ||
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video.release() | ||
return int(fps), int(frames), int(width), int(height) | ||
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def display_video(path_to_video) : | ||
""" | ||
Displays video | ||
Parameters | ||
---------- | ||
path_to_video - path to the mp4 file | ||
Returns | ||
------- | ||
NA | ||
""" | ||
video = cv2.VideoCapture(path_to_video) | ||
while(video.isOpened()) : | ||
_ , frame = video.read() | ||
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | ||
cv2.imshow('frame', gray) | ||
fps, _, _, _ = get_property(path_to_video) | ||
wait_ms = int(1000/fps) | ||
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if cv2.waitKey(wait_ms) & 0xFF == ord('q') : | ||
break | ||
video.release() | ||
cv2.destroyAllWindows() | ||
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def extract_images(path_to_video, path_to_images) : | ||
""" | ||
Extract images from video | ||
Parameters | ||
---------- | ||
path_to_video - path to the mp4 file | ||
path_to_images - path to the directory to save images | ||
Returns | ||
------- | ||
NA | ||
""" | ||
count = 0 | ||
if not os.path.exists(path_to_images): | ||
os.makedirs(path_to_images) | ||
video = cv2.VideoCapture(path_to_video) | ||
while(video.isOpened()) : | ||
ret, frame = video.read() | ||
if not ret : | ||
break | ||
image_name = str(count)+".jpg" | ||
cv2.imwrite(os.path.join(path_to_images, image_name), frame) | ||
count+=1 | ||
video.release() | ||
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def create_video(path_to_images, path_to_video, fps, seconds) : | ||
""" | ||
Saves video of the length equal to seconds | ||
Parameters | ||
---------- | ||
path_to_images - directory that contains images of full video | ||
path_to_video - path to video file that has to be saved | ||
fps - frames per second | ||
seconds - number of seconds to save | ||
Returns | ||
------- | ||
NA | ||
""" | ||
frames = seconds*fps | ||
image_count = 0 | ||
image_path = os.path.join(path_to_images, str(image_count)+".jpg") | ||
image = cv2.imread(image_path) | ||
height, width, _ = image.shape | ||
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# Define the codec and create VideoWriter object | ||
fourcc = cv2.VideoWriter_fourcc(*'mp4v') | ||
video = cv2.VideoWriter(path_to_video, fourcc, fps, (width, height)) | ||
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while(frames): | ||
image_path = os.path.join(path_to_images, str(image_count)+".jpg") | ||
image = cv2.imread(image_path) | ||
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video.write(image) | ||
frames-=1 | ||
image_count+=1 | ||
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# Release everything if job is finished | ||
video.release() | ||
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def get_videotime(frame) : | ||
""" | ||
Crops the time-in-video and returns the timestamp | ||
Parameters | ||
---------- | ||
frame - image frame | ||
Returns | ||
------- | ||
text - timestamp present on the image | ||
""" | ||
# Crop the time portion | ||
frame = frame[0:25,0:220] | ||
# perform ocr | ||
text = pytesseract.image_to_string(frame) | ||
return text | ||
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# Sample paths | ||
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path_to_video = "../files/videos/1569843500.mp4" | ||
path_to_new_video = "../files/videos/raw60.mp4" | ||
path_to_images = "../files/images" | ||
path_to_image = "../files/images/0.jpg" | ||
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