Just saw one of the better "reduced mosaic" videos here: https://supjav.com/235853.html?asgtbndr=1Many are improperly tagged as that but I have seen one video that was actually uncensored and not decensored so they do exist too.
That's because they didn't use condoms for that movie. Honnaka switched from real to fake creampies somewhere between HND-400 and HND-500, with a short period where you could get either real or fake (probably because some movies are in post production longer than others and the codes represent the release order and not necessarily the production order). HND-051 is old enough that it definitely had real creampies.Good cream-pie and no evidence of condom! lol
I have found quite a few true uncensored versions on non-overseas JAV. For example, SNIS-118, HYPN-023, STARS-104, STARS-081, MXGS-783, SDAB-112, SDDE-623, SDNM-229 all have uncensored versions.I agree Sam. The only "true" uncensored videos I have seen are those released for "overseas" distribution. Some of the better name JAV actresses made them but the story lines were pretty lame by JAV standards.
There's a list in this thread: https://www.akiba-online.com/thread...st-post-will-be-updated-ad-infinitum.1827571/I have found quite a few true uncensored versions on non-overseas JAV. For example, SNIS-118, HYPN-023, STARS-104, STARS-081, MXGS-783, SDAB-112, SDDE-623, SDNM-229 all have uncensored versions.
Hey Chuckie,HND-051 Reiko Kobayakawa A Thick Cum Fuck
SisterMother And A Blazing Son
As I indicated in my previous post, I liked this "reduced mosaic version" of this movie and subsequently decided to sub it and twist the storyline a bit! I used Whisper to create this sub and I attempted to clean it up a bit, and re-interpreted some of the meaningless/ "lewd-less" dialog. Again, I don't understand Japanese or Chinese so my re-interpretations might not be totally accurate but I try to match what is happening in the scene. Anyway, enjoy and let me know what you think.
Yes, Same. it seems the pip solver install incompatible versions of torchaudio and torch and the like. Hopefully somebody knows how to fix it.The whisper colab today failed with these message. I think some package are changed. Anyone know how to fix this?
Encoding audio...
Running VAD...
Using cache found in /root/.cache/torch/hub/snakers4_silero-vad_master
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-2-1b50d0fa71d6> in <cell line: 72>()
70
71 print("Running VAD...")
---> 72 model, utils = torch.hub.load(
73 repo_or_dir="snakers4/silero-vad", model="silero_vad", onnx=False
74 )
11 frames
/usr/lib/python3.10/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error, winmode)
372
373 if handle is None:
--> 374 self._handle = _dlopen(self._name, mode)
375 else:
376 self._handle = handle
OSError: /usr/local/lib/python3.10/dist-packages/torchaudio/lib/libtorchaudio.so: undefined symbol: _ZN3c104cuda9SetDeviceEi
Very Descriptive Name. Thanks to all the helpful people who created it. I've tried it out on SSIS-928. It kind of sucks.Give a try to this one: https://github.com/meizhong986/WhisperJAV
WhisperJAV
This one should work fine still. It uses faster-whisper with sileo vad --approx. 2x faster.
Note: this one requires a path to audio folder than to the audio itself. It subs all audios in the folder.
Does this one use large v2 model? Because if I am not mistaken, it is not indicated.Give a try to this one: https://github.com/meizhong986/WhisperJAV
WhisperJAV
This one should work fine still. It uses faster-whisper with sileo vad --approx. 2x faster.
Note: this one requires a path to audio folder than to the audio itself. It subs all audios in the folder.
It does have the model as an option you can select in that colab so you are mistaken. It is the default.Does this one use large v2 model? Because if I am not mistaken, it is not indicated.
This has stopped working. The only advice I've seens is to only use ffmpeg-python, but that doesn't seem to fix it.I don't see VAD (Voice Activity Detection) in that version. It was a hassle to install https://colab.research.google.com/github/ANonEntity/WhisperWithVAD/blob/main/WhisperWithVAD.ipynb locally but it was worth it. There were so many things to install like CUDA, cudnn, (I think these two are already installed if you have used javplayer before), install https://pytorch.org, and
Python:pip install deepl srt ffmpeg-python pip install git+https://github.com/openai/whisper.git
I have Python 3.9.13 and no compatibility issues. I can't say if Python 3.10 and newer have issues or not with packages like numpy, numba, etc. On my local pc, I changed the code so that it can queue up multiple audio paths. I can leave my pc on when I'm not home and whisper moves on to the next file. https://drive.google.com/file/d/1z1YX-YVgTZ2LoGDxmcK3BSYnZrWpSLYg/view?usp=share_link. I will explain the changes. Global variables for all the vad settings except audio_path is a parameter. Made a function called use_whisper and indented all the previous code into it. To queue up multiple audio, just copy paste use_whisper("your_path_to_audio_file") at the end (There is commented out code as an example). Also I added more words to the garbage list. Sounds like crackling and crying, and hallucinations such as, It's in my belly, and thank you for dinner gets deleted. To run, type python whisper-vad-function.py
At first I was disappointed because the only version of this Jav I could find was the one with the ubiquitous Chinese ads for the lottery and cam sex sites. Imagine my reaction when I discovered that your srt file was not only timed to this version, but it actually includes English translation for the lottery ad. After years of skipping through that damn thing, I now know what it is saying. Nice work!