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import hashlib
def checksum(filename, hash_factory=hashlib.blake2b, chunk_num_blocks=128):
h = hash_factory()
with open(filename,'rb') as f:
while chunk := f.read(chunk_num_blocks*h.block_size):
h.update(chunk)
return h.hexdigest()
def get_os():
import platform
return {"Windows": "Windows", "Linux": "Linux", "Darwin": "Mac"}.get(platform.system(), "Unknown")
# used in src/rife/inference_video.py and more, soon
def duplicate_pngs_from_folder(from_folder, to_folder, img_batch_id, orig_vid_name):
import os, cv2, shutil #, subprocess
#TODO: don't copy-paste at all if the input is a video (now it copy-pastes, and if input is deforum run is also converts to make sure no errors rise cuz of 24-32 bit depth differences)
temp_convert_raw_png_path = os.path.join(from_folder, to_folder)
if not os.path.exists(temp_convert_raw_png_path):
os.makedirs(temp_convert_raw_png_path)
frames_handled = 0
for f in os.listdir(from_folder):
if ('png' in f or 'jpg' in f) and '-' not in f and '_depth_' not in f and ((img_batch_id is not None and f.startswith(img_batch_id) or img_batch_id is None)):
frames_handled +=1
original_img_path = os.path.join(from_folder, f)
if orig_vid_name is not None:
shutil.copy(original_img_path, temp_convert_raw_png_path)
else:
image = cv2.imread(original_img_path)
new_path = os.path.join(temp_convert_raw_png_path, f)
cv2.imwrite(new_path, image, [cv2.IMWRITE_PNG_COMPRESSION, 0])
return frames_handled |