I know that the efficiency of Faster RCNN is fairly limited. I started with it because of its high accuracy. I need enough accuracy to design the algorithm for this project.

Since I already got a basic structure now, I really should find a way to improve the inference time of each frame. Changing the model to yolov4 would be a really nice approach!

I will work on it once I got time. Thanks!

this is a comparison of accuracy and process speed between different object detection model from this article

• accuracy

• speed

No matter speed or acc, yolo3 > fast R-CNN, we even use better version of yolo3 (yolo4).

Fun story, this model is very great. US military use this model on drone to automatically identify enemy and fire them. Because of this application, the author of yolo4 give up object detection field and switch to other research area.

hey guys can yall gimme a little advice so i can move in the field of machine learning and deep learning
and also i cant run this project ,I am using pop_os ,python 3.6.10 , nvdia gpu

@AditSoni Hey, can you please tell me what error message did you get?

pyopenpose module fails

and now I have got a new error:

Something went wrong when importing OpenPose
Debugging middleware caught exception in streamed response at a point where response headers were already sent.
Traceback (most recent call last):
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/venv/lib/python3.6/site-packages/werkzeug/wsgi.py", line 506, in next
return self._next()
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/venv/lib/python3.6/site-packages/werkzeug/wrappers/base_response.py", line 45, in _iter_encoded
for item in iterable:
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/src/app_helper.py", line 19, in getVideoStream
datum, opWrapper = openpose_init()
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/src/utils.py", line 443, in openpose_init
raise e
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/src/utils.py", line 440, in openpose_init
import pyopenpose as op
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/venv/lib/python3.6/site-packages/pyopenpose/init.py", line 1, in
from .core import OPose
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/venv/lib/python3.6/site-packages/pyopenpose/core.py", line 1, in
from .utils import ClassDict
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/venv/lib/python3.6/site-packages/pyopenpose/utils/init.py", line 2, in
from . import op_json
File "/home/aditsoni/Workspace/python/Basketball_shot_estimation/AI-basketball-analysis/venv/lib/python3.6/site-packages/pyopenpose/utils/op_json.py", line 7, in
from classdict import ClassDict
ModuleNotFoundError: No module named 'classdict'

@AditSoni Hi, I think this problem has something to do with your environment setup, please try it on Windows or Ubuntu.
Also, feel free to start a new issue since this thread is focusing on how to improve the efficiency.

@AditSoni Hi, please start a new issue if you encounter any further problems. Thanks!