-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
```
What steps will reproduce the problem?
1. download and extract the visual control zip file
2. capture faces and store them as training images
3. press "Train Recognizer" and recieve "The recognize…
-
I based the code below on the example main.py from the hugging face model page.
Identical images produce a very small distance of 4.919836871231098e-09 as expected.
The different images used her…
-
I have faced with the following problem when I call inference_recognizer(model, video, lable)
Codes:
```
import torch
%cd /content/drive/MyDrive/SwinVideo/Video-Swin-Transformer/mmaction2/mmacti…