Comments (2)
felixchenfy
commented on June 19, 2024
- I'm not sure... I think the training shouldn't be slow even using CPU, because the features used for training are human's positions, whose feature dimensionality is pretty small. It should just take seconds.
- What is slow is detecting human skeletons from the training images. You'll need GPU to make it faster.
- No, it's not supported --- I used the sklearn library's methods which don't support pausing/resuming the trainig
from realtime-action-recognition.
DukeZacharia
commented on June 19, 2024
I think the amount of the dataset you used may be the main issue. I used a large amount of dataset and it took 2 days to train
Reduce the amount of dataset and it may work in seconds
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Related Issues (20)
- Increase number of person dectected HOT 1
- How to use [lying, other, sitting, standing]
- ModuleNotFoundError: No module named 'sklearn.neighbors.classification' HOT 8
- 大佬您好，想问一下您的数据集怎么标定的吗？如何生成valid_images.txt文件呢 HOT 1
- 行为识别用的什么方法呀 HOT 1
- how to remove the head joints HOT 1
- ModuleNotFoundError: No module named 'tf_pose' HOT 3
- 您好！可以请教一下是否有相关文章或者资料对这个项目的介绍分析吗 HOT 7
- 不好意思,请问在运作前都会显示这些东西而延迟一段时间,请问这个要怎去掉呢？
- Normalization performed twice
- Is it possible to use LSTM models using this feature preprocessing and extraction method?
- number of features
- AttributeError: module 'tensorflow_core.contrib' has no attribute 'tensorrt'
- how to generate valid_images.txt. HOT 2
- 当我测试摄像头的时候，CV2
- warnings.warn("Invalid fps of video: {}".format(video_path))
- Converting to RNN HOT 1
- AttributeError: module 'tensorflow' has no attribute 'nn' HOT 1
- can i use ucf101dataset to train more labels？
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