Linh T. Duong linhduongtuan

Current Task:

I'm working on an image-to-image translation task using aligned/paired images.

Data Preprocessing:

The dataset requires preprocessing, including cropping original images into relevant arrays.

Performance Evaluation:

Uploading a folder of many files to HF, by chunking it into `.tar`s

So you generated 50000 images for computing FID or whatever, and now you want to upload those samples to HF.
You try, but one of the filetransfers fails, and you lose all your progress.
I mean it'd be nice if HF could just… fix this… like, put retries into huggingface-cli upload instead of just discarding tens of gigabytes of progress… but we live in the world in which we live.

So let's make it easier. instead of 50k small files, let's upload 50 big files. Collate 'em into .tars.

I'm not sure this makes a valid WDS, but it's close; I think you would need to rename the files to 000000.img.png if you wanted that.

ResNet-101 in Keras

This is an Keras implementation of ResNet-101 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385

	nodes:
	- id: webcam
	custom:
	source: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/opencv_stream.py
	outputs:
	- image
	- id: idefics2
	operator:
	python: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/idefics2_op.py
	inputs:

	""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
	git clone https://github.com/myshell-ai/OpenVoice
	cd OpenVoice
	git clone https://huggingface.co/myshell-ai/OpenVoice
	cp -r OpenVoice/* .
	pip install whisper pynput pyaudio
	"""

	from openai import OpenAI
	import time

	#!/bin/bash
	# Copied and modified from https://github.com/Technica-Corporation/Tegra-Docker
	# Copyright (c) 2017, Technica Corporation. All rights reserved.

	NV_LIBS="/usr/lib/aarch64-linux-gnu \
	/usr/local/cuda/lib64 \
	/usr/local/cuda \
	/usr/src/tensorrt \
	/usr/local/cuda-10.0 \
	/usr/include \