Comments (3)
The super useless exception occurs for high resolution videos and is coming from PIL, not the vidaug source code.
from vidaug.
Can you please share your code where it get killed? Are you sure about the input format is proper?
from vidaug.
I have a ".mov" file and I extract frames using ffmpeg. Before calling the augmentor, I read all the files using glob and PIL and then call the augmentor.
frames = sorted(glob.glob(os.path.join(frame_folder, '*jpg')))
for image_path in frames:
image = Image.open(image_path)
frame_images.append(image.convert("RGB"))
return frame_images
frame_images
is a list of PIL images.
seq(frame_images)
from vidaug.
Related Issues (18)
- Naming error HOT 2
- Document for the project HOT 2
- How about using ImageDataGenerator in Keras for videos? HOT 1
- Downsample augmentation is not working because of the floating value of the nb_return_frame variable. HOT 1
- How to run this application? HOT 1
- Is it for one video (sequence of images) or a batch of videos? HOT 1
- On the SuperPixel Augmentation HOT 2
- 'Sequential' object has no attribute 'augment_images' HOT 3
- camera vibration augmentation
- Testing the horizontal_flipping.ipynb with a video.mp4
- RandomResize does not work with ndarray
- RandomRotate does not preserve range
- How to input the videos HOT 2
- There are no functions like: video = load_batch(batch_idx) and train_on_video(video) in repo: Give the example to run this repo with original function HOT 1
- How can I load batch images through load_batch() function HOT 6
- Error deo
- Not working for .mp4 format? HOT 2
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from vidaug.