Computer vision

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.

Describe the bug

When downloading this subset as of 3-28-2022 you will encounter a split size error after the dataset is extracted. The extracted dataset has roughly ~6m rows while the split expects <1m.

Upon digging a little deeper, I downloaded the raw files from https://s3.amazonaws.com/amazon-reviews-pds/tsv/amazon_reviews_us_PC_v1_00.tsv.gz and extracted them. A line count via `wc -

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

🚀 The feature

font_ The size setting must be specified at the same time as the font to be valid, otherwise it is invalid.
I think utils.py in torchvision Line 239 can be improved.Make font settings and font size settings separate.
utils.py Line 239:
"txt_font = ImageFont.load_default() if font is None else ImageFont.truetype(font=font, size=font_size)"

Motivation, pitch

Improve t

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!