Open JasseurHadded1 opened 8 months ago
0.x branch (0.x version, such as v0.24.1)
v0.24.1
sys.platform: linux Python: 3.8.16 (default, Oct 16 2023, 14:40:53) [GCC 11.4.0] CUDA available: True GPU 0,1: NVIDIA GeForce RTX 4090 CUDA_HOME: None GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with:
TorchVision: 0.10.0+cu111 OpenCV: 4.8.0 MMCV: 1.7.1 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMAction2: 0.24.1+27c674a
When I do inference using the "inference_recognizer" function in mmaction/apis/inference.py I get different results! I have tried to see if there is any thing that causes randomness in the pipeline but not found! Anyone know the solution?
Just that:
results, returned_features = inference_recognizer(model, video, nb_class_predicted=9, score_threshold=0)
No response
Any answer!
Branch
0.x branch (0.x version, such as
v0.24.1
)Prerequisite
Environment
sys.platform: linux
Python: 3.8.16 (default, Oct 16 2023, 14:40:53) [GCC 11.4.0]
CUDA available: True
GPU 0,1: NVIDIA GeForce RTX 4090
CUDA_HOME: None
GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 1.9.0+cu111
PyTorch compiling details: PyTorch built with:
TorchVision: 0.10.0+cu111
OpenCV: 4.8.0
MMCV: 1.7.1 MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 11.1
MMAction2: 0.24.1+27c674a
Describe the bug
When I do inference using the "inference_recognizer" function in mmaction/apis/inference.py I get different results! I have tried to see if there is any thing that causes randomness in the pipeline but not found! Anyone know the solution?
Reproduces the problem - code sample
Just that:
Reproduces the problem - command or script
No response
Reproduces the problem - error message
No response
Additional information
No response