(Video from HMDB51 : https://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/)
Shape : (1, 3, duration, 112, 112))
class_count=3
+ idx=0
category=15[golf ]
prob=6.96644401550293
+ idx=1
category=43[swing_baseball ]
prob=3.26068377494812
+ idx=2
category=2[catch ]
prob=2.2060546875
The accuracy of each category. (HMDB51)
Shape : (1, 51)
Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.
For the sample image,
$ python3 mars.py
By adding the --video
option, you can input the video.
If you pass 0
as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.
$ python3 mars.py --video VIDEO_PATH
MARS: Motion-Augmented RGB Stream for Action Recognition
HMDB: a large human motion database
Pytorch
ONNX opset=10