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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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
Change tensor.data
to tensor.detach()
due to
pytorch/pytorch#6990 (comment)
tensor.detach()
is more robust than tensor.data
.
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Describe the bug
I'm having major trouble with from_csv
.
Context: I'm writing tutorial for build simple text search engine with Jina + Hub. I don't want to include a whole section of processing datasets, hence just passing a CSV into from_csv
. I tried with meme dataset (converted tsv) before, and now using [superhero dataset](https://www.kaggle.com/jonathanbesomi/superheroes-nlp-datas
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Motivated by huggingface/transformers#12789 in Transformers, one welcoming change would be replacing assertions with proper exceptions. The only type of assertions we should keep are those used as sanity checks.
Currently, there is a total of 87 files with the assert
statements (located under datasets
and src/datasets
), so when working on this, to manage the PR s
🚀 The feature
The solarize()
method receives a threshold
which is currently not asserted based on the image type:
https://github.com/pytorch/vision/blob/d367a01a18a3ae6bee13d8be3b63fd6a581ea46f/torchvision/transforms/functional_tensor.py#L876-L886
Ideally we should assert it. It's upper bound depends on the image type (1.0 for float and 255 for uint8) similar to:
https://github.com
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System information (version)
Detailed description
When running cv2.seamlessClone() the error is a bit misleading when the incorrect image path is supplied. It doesn't make it obvious that the problem is in the path
Steps to reproduce