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Computer vision

Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.

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pkaske
pkaske commented Dec 29, 2020

I figured out a way to get the (x,y,z) data points for each frame from one hand previously. but im not sure how to do that for the new holistic model that they released. I am trying to get the all landmark data points for both hands as well as parts of the chest and face. does anyone know how to extract the holistic landmark data/print it to a text file? or at least give me some directions as to h

good first issue type:research solution:holistic stat:awaiting googler
datasets
dlwh
dlwh commented Mar 16, 2022

Describe the bug

Streaming Datasets can't be pickled, so any interaction between them and multiprocessing results in a crash.

Steps to reproduce the bug

import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets

ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True).with_format("
bug good first issue
AnirudhDagar
AnirudhDagar commented Jan 24, 2022

Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.

It can be clearly seen in chapter 6([CNN Lenet](ht

tensorflow-adapt-track good first issue
hubutui
hubutui commented May 4, 2022

🚀 The feature

specify the dep typing_extensions is only needed for python < 3.8

Motivation, pitch

specify the dep typing_extensions is only needed for python < 3.8

Alternatives

No response

Additional context

According to https://github.com/pytorch/vision/search?q=typing_extensions, torchvision only uses typing_extensions.Literal, which is available since python 3.8, see

label-studio
omishali
omishali commented Jan 3, 2022

Describe the bug
I am trying to label Hebrew text (RTL language). When labels are attached to the text, the words of the text are mixed and not shown in their original order.

To Reproduce
Steps to reproduce the behavior:

  1. Create a project with attached dataset.json dataset.txt
  2. Choose NER template
  3. Start
bug good first issue text editor
archwolf118
archwolf118 commented Feb 3, 2022

If there is a hot key (move the image from left to right) can get the feature when I was annotating the polygon.
The scroll of mouse can achieve the up and down direction of image, but if I need the move the image from left to right, I have to drag the bottom bar.
If there is a hotkey to drag the whole image or to move the image horizontal?
Thank you!

enhancement good first issue