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La conservation du net art au musée. Les stratégies à l’œuvre
26 mai 2011
Mis à jour : Juillet 2013
Langue : français
Type : Texte
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FFmpeg Cropping Fps Drop
7 mai 2022, par JamesFFmpeg Commands works but having a problem in fps drop also using libx264 for encoding any idea to get this good


"-y" "-noautorotate" "-ss" "301" "-t" "11" "-i" "/mnt/shared/Pictures/[BTCLOD.COM] COSTA RICA IN 4K 60fps HDR (ULTRA HD)-1080p60.mp4" \
"-strict" "experimental" "-vf" "crop=w=606:h=1080:x=657:y=0" \
"-vcodec" "libx264" "-crf" "18" "-r" "15" "-b:v" "2500k" \
"-acodec" "copy" "-ab" "128k" "-sample_fmt" "s16" \
"-ss" "0" "-t" "11" "/storage/emulated/0/VEditor/VideoCroper/[BTCLOD.COM] COSTA RICA IN 4K 60fps HDR (ULTRA HD)-1080p60-0-6.mp4"



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Python cv2 script that scans a giant image to a video. Why do I need pad two extra lines
27 avril 2022, par MahrarenaI wrote a script that scans a giant image to make a video. Normally I just post my scripts straight to my Code Review account, but this script is ugly, needs to be refactored, implements only horizontal scrolling and most importantly I just fixed a bug but I don't completely understand why it works.


Example :


Original image (Google Drive)


Video Output (Google Drive)


As you can see from the video, everything is working properly except the fact that I don't know how it works.


Full working code



import cv2
import numpy as np
import random
import rpack
from fractions import Fraction
from math import prod

def resize_guide(image_size, target_area):
 aspect_ratio = Fraction(*image_size).limit_denominator()
 horizontal = aspect_ratio.numerator
 vertical = aspect_ratio.denominator
 unit_length = (target_area/(horizontal*vertical))**.5
 return (int(horizontal*unit_length), int(vertical*unit_length))

fourcc = cv2.VideoWriter_fourcc(*'mp4v')
FRAME = np.zeros((1080, 1920, 3), dtype=np.uint8)

def new_frame():
 return np.ndarray.copy(FRAME)

def center(image):
 frame = new_frame()
 h, w = image.shape[:2]
 yoff = round((1080-h)/2)
 xoff = round((1920-w)/2)
 frame[yoff:yoff+h, xoff:xoff+w] = image
 return frame

def image_scanning(file, fps=60, pan_increment=64, horizontal_increment=8):
 image = cv2.imread(file)
 height, width = image.shape[:2]
 assert width*height >= 1920*1080
 video_writer = cv2.VideoWriter(file+'.mp4', fourcc, fps, (1920, 1080))
 fit_height = True
 if height < 1080:
 width = width*1080/height
 image = cv2.resize(image, (width, 1080), interpolation = cv2.INTER_AREA)
 aspect_ratio = width / height
 zooming_needed = False
 if 4/9 <= aspect_ratio <= 16/9:
 new_width = round(width*1080/height)
 fit = cv2.resize(image, (new_width, 1080), interpolation = cv2.INTER_AREA)
 zooming_needed = True
 
 elif 16/9 < aspect_ratio <= 32/9:
 new_height = round(height*1920/width)
 fit = cv2.resize(image, (1920, new_height), interpolation = cv2.INTER_AREA)
 fit_height = False
 zooming_needed = True
 
 centered = center(fit)
 for i in range(fps):
 video_writer.write(centered)
 if fit_height:
 xoff = round((1920 - new_width)/2)
 while xoff:
 if xoff - pan_increment >= 0:
 xoff -= pan_increment
 else:
 xoff = 0
 frame = new_frame()
 frame[0:1080, xoff:xoff+new_width] = fit
 video_writer.write(frame)
 else:
 yoff = round((1080 - new_height)/2)
 while yoff:
 if yoff - pan_increment >= 0:
 yoff -= pan_increment
 else:
 yoff = 0
 frame = new_frame()
 frame[yoff:yoff+new_height, 0:1920] = fit
 video_writer.write(frame)
 
 if zooming_needed:
 if fit_height:
 width_1, height_1 = new_width, 1080
 else:
 width_1, height_1 = 1920, new_height
 new_area = width_1 * height_1
 original_area = width * height
 area_diff = original_area - new_area
 unit_diff = area_diff / fps
 for i in range(1, fps+1):
 zoomed = cv2.resize(image, resize_guide((width_1, height_1), new_area+unit_diff*i), interpolation=cv2.INTER_AREA)
 zheight, zwidth = zoomed.shape[:2]
 zheight = min(zheight, 1080)
 zwidth = min(zwidth, 1920)
 frame = new_frame()
 frame[0:zheight, 0:zwidth] = zoomed[0:zheight, 0:zwidth]
 video_writer.write(frame)
 
 if (width - 1920) % horizontal_increment:
 new_width = ((width - 1920) // horizontal_increment + 1) * horizontal_increment + 1920
 frame = np.zeros([height, new_width, 3], dtype=np.uint8)
 frame[0:height, 0:width] = image
 width = new_width
 image = frame
 
 if height % 1080:
 new_height = (height // 1080 + 2) * 1080
 frame = np.zeros([new_height, width, 3], dtype=np.uint8)
 frame[0:height, 0:width] = image
 height = new_height - 1080
 image = frame
 
 y, x = 0, 0
 for y in range(0, height, 1080):
 for x in range(0, width-1920, horizontal_increment):
 frame = image[y:y+1080, x:x+1920]
 video_writer.write(frame)
 x = width - 1920
 frame = image[y:y+1080, x:x+1920]
 for i in range(round(fps/3)):
 video_writer.write(frame)
 cv2.destroyAllWindows()
 video_writer.release()
 del video_writer



I don't know why I need to pad two extra lines instead of one, meaning if I change this :


if height % 1080:
 new_height = (height // 1080 + 2) * 1080
 frame = np.zeros([new_height, width, 3], dtype=np.uint8)
 frame[0:height, 0:width] = image
 height = new_height - 1080
 image = frame



To this :


if height % 1080:
 new_height = (height // 1080 + 1) * 1080
 frame = np.zeros([new_height, width, 3], dtype=np.uint8)
 frame[0:height, 0:width] = image
 height = new_height
 image = frame



The program raises exceptions :


OpenCV: FFMPEG: tag 0x34363268/'h264' is not supported with codec id 27 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x31637661/'avc1'
---------------------------------------------------------------------------
error Traceback (most recent call last)
 in <module>
----> 1 image_scanning("D:/collages/91f53ebcea2a.png")

 in image_scanning(file, fps, pan_increment, horizontal_increment, fast_decrement)
 122 x += horizontal_increment
 123 frame = image[y:y+1080, x:x+1920]
--> 124 video_writer.write(frame)
 125 cv2.destroyAllWindows()
 126 video_writer.release()

error: Unknown C++ exception from OpenCV code
</module>


I guess it was caused by indexing error because the last line would not have enough pixels so padding the height of the image to a multiple of 1080 should work.


But that's not the case, I need to pad two lines, why is that ? I really don't understand why it is working.



No, I really wrote all of it, I understand all the principles, the ideas are all mine, but there is one small problem in implementation. I don't know why I need extra pixels in the bottom to make it work, because if I don't pad the height to a multiple of 1080, I can't get the bottom line, the lowest potion of height % 1080 would be lost.


If I tried to get the lowest part, the program will raise exceptions even if I pad the height to a multiple of 1080, I think it is related to indexing but I don't fully understand it, turns out I need to pad the height and add extra pixels, even 1 pixel would work.


I don't know why it raises exceptions and how add extra pixels got rid of the exception, but I understand everything else perfectly clear, after all I wrote it.


There's a bug in my program, I don't know what caused it, and I want you to help me debugging, and that's the entire point of the question !


-
Python cv2 script that scans a giant image to a video. Raises error : Unknown C++ exception from OpenCV code
26 avril 2022, par MahrarenaI wrote a script that scans a giant image to make a video. Normally I just post my scripts straight to my Code Review account, but this script is ugly, needs to be refactored, implements only horizontal scrolling and contains a bug that I can't get rid of.


It is working but not perfect, I can't get the last line at the bottom of the image, with height of
image_height % 1080
. If I ignore it, the code is working fine, if I try to fix it, it throws exceptions.

Example :


Original image (Google Drive)


Video Output (Google Drive)


As you can see from the video, everything is working properly except the fact that I can't get the bottom line.


Full working code



import cv2
import numpy as np
import random
import rpack
from fractions import Fraction
from math import prod

def resize_guide(image_size, target_area):
 aspect_ratio = Fraction(*image_size).limit_denominator()
 horizontal = aspect_ratio.numerator
 vertical = aspect_ratio.denominator
 unit_length = (target_area/(horizontal*vertical))**.5
 return (int(horizontal*unit_length), int(vertical*unit_length))

fourcc = cv2.VideoWriter_fourcc(*'h264')
FRAME = np.zeros((1080, 1920, 3), dtype=np.uint8)

def new_frame():
 return np.ndarray.copy(FRAME)

def center(image):
 frame = new_frame()
 h, w = image.shape[:2]
 yoff = round((1080-h)/2)
 xoff = round((1920-w)/2)
 frame[yoff:yoff+h, xoff:xoff+w] = image
 return frame

def image_scanning(file, fps=60, pan_increment=64, horizontal_increment=8, fast_decrement=256):
 image = cv2.imread(file)
 height, width = image.shape[:2]
 assert width*height >= 1920*1080
 video_writer = cv2.VideoWriter(file+'.mp4', fourcc, fps, (1920, 1080))
 fit_height = True
 if height < 1080:
 width = width*1080/height
 image = cv2.resize(image, (width, 1080), interpolation = cv2.INTER_AREA)
 aspect_ratio = width / height
 zooming_needed = False
 if 4/9 <= aspect_ratio <= 16/9:
 new_width = round(width*1080/height)
 fit = cv2.resize(image, (new_width, 1080), interpolation = cv2.INTER_AREA)
 zooming_needed = True
 
 elif 16/9 < aspect_ratio <= 32/9:
 new_height = round(height*1920/width)
 fit = cv2.resize(image, (1920, new_height), interpolation = cv2.INTER_AREA)
 fit_height = False
 zooming_needed = True
 
 centered = center(fit)
 for i in range(fps):
 video_writer.write(centered)
 if fit_height:
 xoff = round((1920 - new_width)/2)
 while xoff:
 if xoff - pan_increment >= 0:
 xoff -= pan_increment
 else:
 xoff = 0
 frame = new_frame()
 frame[0:1080, xoff:xoff+new_width] = fit
 video_writer.write(frame)
 else:
 yoff = round((1080 - new_height)/2)
 while yoff:
 if yoff - pan_increment >= 0:
 yoff -= pan_increment
 else:
 yoff = 0
 frame = new_frame()
 frame[yoff:yoff+new_height, 0:1920] = fit
 video_writer.write(frame)
 
 if zooming_needed:
 if fit_height:
 width_1, height_1 = new_width, 1080
 else:
 width_1, height_1 = 1920, new_height
 new_area = width_1 * height_1
 original_area = width * height
 area_diff = original_area - new_area
 unit_diff = area_diff / fps
 for i in range(1, fps+1):
 zoomed = cv2.resize(image, resize_guide((width_1, height_1), new_area+unit_diff*i), interpolation=cv2.INTER_AREA)
 zheight, zwidth = zoomed.shape[:2]
 zheight = min(zheight, 1080)
 zwidth = min(zwidth, 1920)
 frame = new_frame()
 frame[0:zheight, 0:zwidth] = zoomed[0:zheight, 0:zwidth]
 video_writer.write(frame)
 y, x = 0, 0
 completed = False
 while y != height - 1080:
 x = 0
 while x != width - 1920:
 if x + horizontal_increment + 1920 <= width:
 x += horizontal_increment
 frame = image[y:y+1080, x:x+1920]
 video_writer.write(frame)
 else:
 x = width - 1920
 frame = image[y:y+1080, x:x+1920]
 for i in range(round(fps/3)):
 video_writer.write(frame)
 if y == height - 1080:
 completed = True
 while x != 0:
 if x - fast_decrement - 1920 >= 0:
 x -= fast_decrement
 else:
 x = 0
 frame = image[y:y+1080, x:x+1920]
 video_writer.write(frame)
 if y + 2160 <= height:
 y += 1080
 else:
 y = height - 1080
 cv2.destroyAllWindows()
 video_writer.release()
 del video_writer



The above the the code needed to produce the example video. It is working but the bottom line is missing.


Now if I change the last few lines to this :


if y + 2160 <= height:
 y += 1080
 else:
 y = height - 1080
 x = 0
 while x != width - 1920:
 if x + horizontal_increment + 1920 <= width:
 x += horizontal_increment
 frame = image[y:y+1080, x:x+1920]
 video_writer.write(frame)
 cv2.destroyAllWindows()
 video_writer.release()
 del video_writer



I expect it to include the bottom line, but it just throws exceptions instead :


OpenCV: FFMPEG: tag 0x34363268/'h264' is not supported with codec id 27 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x31637661/'avc1'
---------------------------------------------------------------------------
error Traceback (most recent call last)
 in <module>
----> 1 image_scanning("D:/collages/91f53ebcea2a.png")

 in image_scanning(file, fps, pan_increment, horizontal_increment, fast_decrement)
 122 x += horizontal_increment
 123 frame = image[y:y+1080, x:x+1920]
--> 124 video_writer.write(frame)
 125 cv2.destroyAllWindows()
 126 video_writer.release()

error: Unknown C++ exception from OpenCV code
</module>


(If you can't get the example code working I can't help you, but I am using Python 3.9.10 x64 on Windows 10, and I have this file : "C :\Windows\System32\openh264-1.8.0-win64.dll", the '.avi' format generates video files with Gibibytes (binary unit, not SI Gigabyte) of size)


How to get rid of the exception ?



Okay I yield, I admit the tone of the original post was very aggressive and provoking, but I was very frustrated and I really don't know why my posts keep getting downvoted. Now I deleted all offending portions so will you people please really have a look at my code and tell me what I did wrong. I can solve it by myself, I always do, but I am so stupid I can spend hours missing the obvious. So please will you help me ?