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No commits in common. "f15a6319830d55d9745bdeb8dd9820db8569e7ce" and "c226c3807ad069a750375ffb34e2d2465e459f5b" have entirely different histories.

3 changed files with 70 additions and 59 deletions

2
.gitignore vendored
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@ -102,4 +102,4 @@ ENV/
*.swp
*.swo
mcdata/
test/

97
main.py
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@ -1,18 +1,18 @@
import glob
import os
import hashlib
import time
import traceback
from multiprocessing import Pool
import queue
from PIL import Image, UnidentifiedImageError
import acoustid
import chromaprint
from imagehash import average_hash
from videohash import VideoHash
from videohash.exceptions import FFmpegFailedToExtractFrames
hashes = set()
audio_hashes = []
delete = set()
hash_lookup = {}
filenames = [x for x in glob.glob('**', recursive=True) if os.path.isfile(x)]
@ -21,11 +21,11 @@ print('ENTER to continue, ctrl+c to cancel.')
try:
input()
except KeyboardInterrupt:
print('Cancelled.')
print('\nCancelled.')
os._exit(0)
print('Sorting file list by smallest size...')
filenames.sort(key=os.path.getsize, reverse=False)
print('Sorting file list by size...')
filenames.sort(key=os.path.getsize, reverse=True)
print('Deduplicating by md5 hash...')
@ -39,82 +39,87 @@ for filename in filenames:
hasher.update(buf)
digest = hasher.hexdigest()
if digest in hashes:
print('Found digest', digest, 'collision for', filename)
delete.add(filename)
else:
hashes.add(digest)
print('Found', len(delete), 'duplicates by md5 hash.')
time.sleep(4)
print('Deduplicating by media fingerprint...')
def get_image_hash(filename):
basename = os.path.basename(os.path.dirname(filename))
try:
image = Image.open(filename)
return basename + str(average_hash(image)) + '_image'
return str(average_hash(image)) + '_image'
except UnidentifiedImageError:
return None
def get_video_hash(filename):
basename = os.path.basename(os.path.dirname(filename))
def get_audio_hash(filename):
try:
v = VideoHash(path=filename)
digest = str(v.hash_hex)
v.delete_storage_path()
fp = acoustid.fingerprint_file(filename)[1]
values, _ = chromaprint.decode_fingerprint(fp)
return chromaprint.hash_fingerprint(values)
except acoustid.FingerprintGenerationError:
return None
return basename + digest + '_video'
def get_video_hash(filename):
try:
return str(VideoHash(path=filename).hash_hex) + '_video'
except FFmpegFailedToExtractFrames:
return None
count = 0
total = len(filenames)
def hasher(filename):
if filename in delete: return None
for filename in filenames:
count += 1
print('Hashing file', count, '/', total, end='\r')
print('Hashing file:', filename)
if filename in delete: continue
try:
digest = get_image_hash(filename)# or get_video_hash(filename)
digest = get_image_hash(filename) or get_audio_hash(filename) or get_video_hash(filename)
except KeyboardInterrupt:
print('Cancelled.')
os._exit(0)
print('Skipping media hashing.')
break
except BaseException as e:
print()
print('Exception', e.__class__.__name__, str(e), 'while hashing:')
print(filename)
print(traceback.format_exc())
return None
continue
if not digest: return None
if not digest: continue
return (filename, digest)
with Pool() as pool:
results = pool.map(hasher, filenames)
print('Finished hashing.')
print()
print('Checking digests:')
print()
for result in results:
if not result: continue
print(result)
filename, digest = result
hash_lookup[digest] = filename
if type(digest) == int:
for h in audio_hashes:
if bin(digest ^ h).count('1') <= 5: # TODO adjust?
delete.add(filename)
print()
print(digest, filename, 'close to', h, hash_lookup[h])
break
else: # for
audio_hashes.append(digest)
else:
if digest in hashes:
print('Found digest', digest, 'collision for', filename)
delete.add(filename)
else:
hashes.add(digest)
print()
print('Found', len(delete), 'total duplicate files.')
print()
for dupe in delete:
print(dupe)
for dupe in sorted(list(delete)):
print('Deleting:', dupe)
print()
print('Found', len(delete), 'total duplicate files. Delete them?')
print('ENTER to continue, ctrl+c to cancel.')
try:
input()
except KeyboardInterrupt:
print('\nCancelled.')
os._exit(0)
print('Deleting...')
for dupe in delete:
os.remove(dupe)

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@ -1,13 +1,19 @@
Brotli==1.1.0
certifi==2023.7.22
audioread==3.0.0
Brotli==1.0.9
certifi==2022.12.7
charset-normalizer==3.1.0
idna==3.4
imagedominantcolor==1.0.1
ImageHash==4.3.1
mutagen==1.47.0
numpy==1.26.1
Pillow==10.1.0
pycryptodomex==3.19.0
mutagen==1.46.0
numpy==1.24.2
Pillow==9.5.0
pyacoustid==1.2.2
pycryptodomex==3.17
PyWavelets==1.4.1
scipy==1.11.3
requests==2.28.2
scipy==1.10.1
urllib3==1.26.15
videohash==3.0.1
websockets==11.0.3
yt-dlp==2023.10.13
websockets==11.0
yt-dlp==2023.3.4