Function process_video_batch

scripts/Berry_Method.py:293–320

(video_path_old, fps, per_side, batch_size, fillindenoise, edgedenoise, _smol_resolution,square_textures,max_frames,output_folder,border)

    return merged_batches

def process_video_batch (video_path_old, fps, per_side, batch_size, fillindenoise, edgedenoise, _smol_resolution,square_textures,max_frames,output_folder,border):
    video_path = os.path.join (output_folder, "input_video.mp4")
    per_batch_limmit = (((per_side * per_side) * batch_size)) + border
    video_data = convert_video_to_bytes(video_path)
    frames = utilityb.extract_frames_movpie(video_data, fps, max_frames)
    print(f"splitting into batches with per_batch_limmit = {per_batch_limmit} and border {border}" )
    bigbatches = split_frames_into_big_batches(frames, per_batch_limmit,border,ebsynth=False)
    bigprocessedbatches = []
    for i , batch in enumerate(bigbatches):
        if i < len(square_textures):
            new_batch = process_video(batch, per_side, batch_size, fillindenoise, edgedenoise, _smol_resolution,square_textures[i])
            bigprocessedbatches.append(new_batch)
            for a, image in enumerate(new_batch):
                Image.fromarray(image).save(os.path.join(output_folder, f"result/output{a + (len(new_batch) * i)}.png"))
    
    just_frame_groups = []
    print (f"bigprocessedbatches len = {len(bigprocessedbatches)}")
    for i in range(len(bigprocessedbatches)):
        newgroup = []
        for b in range(len(bigprocessedbatches[i])):
            newgroup.append(bigprocessedbatches[i][b])
        just_frame_groups.append(newgroup)

    combined = merge_image_batches(just_frame_groups, border)

    save_loc = os.path.join(output_folder, "blended.mp4")
    generated_vid = utilityb.pil_images_to_video(combined,save_loc, fps)
    return generated_vid


def process_video_single(video_path, fps, per_side, batch_size, fillindenoise, edgedenoise, _smol_resolution,square_texture):