ffmpegcv 0.1.3

No project description provided

FFMPEGCV is an alternative to OPENCV for video read and write.

The ffmpegcv provide Video Reader and Video Witer with ffmpeg backbone, which are faster and powerful than cv2.

• The ffmpegcv is api compatible to open-cv
• The ffmpegcv can use GPU accelerate encoding and decoding.
• The ffmpegcv support much more video codecs v.s. open-cv.
• The ffmpegcv support RGB & BGR format as you like.
• The ffmpegcv can resize video to specific size with/without padding.

In all, ffmpegcv is just similar to opencv api. But is faster and with more codecs.

Install

pip install ffmpegcv

Video Reader

---

The ffmpegcv is just similar to opencv in api.

# open cv
import cv2
cap = cv2.VideoCapture(file)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    pass

# ffmpegcv
import ffmpegcv
cap = ffmpegcv.VideoCapture(file)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    pass

# alternative, recommand
cap = ffmpegcv.VideoCapture(file)
nframe = len(cap)
for frame in cap:
    pass

Use GPU to accelerate decoding. It depends on the video codes. h264_nvcuvid, hevc_nvcuvid ....

cap_cpu = ffmpegcv.VideoCapture(file)
cap_gpu = ffmpegcv.VideoCapture(file, codec='h264_cuvid') #NVIDIA GPU0
cap_gpu0 = ffmpegcv.VideoCaptureNV(file)         #NVIDIA GPU0
cap_gpu1 = ffmpegcv.VideoCaptureNV(file, gpu=1)  #NVIDIA GPU1

Use rgb24 instead of bgr24

cap = ffmpegcv.VideoCapture(file, pix_fmt='rgb24')
ret, frame = cap.read()
plt.imshow(frame)

Crop video. (Only supports GPU )

cap = ffmpegcv.VideoCaptureNV(file, crop_xywh=(0, 0, 640, 480))

Resize the video to the given size. (GPU or CPU)

cap = ffmpegcv.VideoCapture(file, resize=(640, 480))

Resize and keep the aspect ratio with black border padding.

cap = ffmpegcv.VideoCapture(file, resize=(640, 480), resize_keepratio=True)

Crop and then resize the video. (Only supports GPU)

cap = ffmpegcv.VideoCaptureNV(file, crop_xywh=(0, 0, 640, 480), resize=(512, 512))

Video Writer

---

# cv2
out = cv2.VideoWriter('outpy.avi',
                       cv2.VideoWriter_fourcc('M','J','P','G'), 
                       10, 
                       (w, h))
out.write(frame1)
out.write(frame2)
out.release()

# ffmpegcv, default codec is 'h264' in cpu 'h265' in gpu.
out = ffmpegcv.VideoWriter('outpy.avi', None, 10, (w, h))
out.write(frame1)
out.write(frame2)
out.release()

frameSize is decided by the size of the first frame

out = ffmpegcv.VideoWriter('outpy.avi', None, 10)

Use GPU to accelerate encoding. Such as h264_nvenc, hevc_nvenc.

out_cpu = ffmpegcv.VideoWriter('outpy.avi', None, 10)
out_gpu0 = ffmpegcv.VideoWriterNV('outpy.avi', 'h264', 10)        #NVIDIA GPU0
out_gpu1 = ffmpegcv.VideoWriterNV('outpy.avi', 'hevc', 10, gpu=1) #NVIDIA GPU1

Input image is rgb24 instead of bgr24

out = ffmpegcv.VideoWriter('outpy.avi', None, 10, pix_fmt='rgb24')
out.write(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))

Video Reader and Writer

---

import ffmpegcv
vfile_in = 'A.mp4'
vfile_out = 'A_h264.mp4'
vidin = ffmpegcv.VideoCapture(vfile_in)
vidout = ffmpegcv.VideoWriter(vfile_out, 'h264_nvenc', vidin.fps)

for frame in vidin:
    vidout.write(frame)

vidin.release()
vidout.release()