added coco evaluation code #34
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Hello! Thanks again @omkaar718 for providing this. |
JunkyByte
reviewed
Jul 16, 2024
|
|
||
| if self.save_state: | ||
| self._img = img | ||
| self._yolo_res = results | ||
| self._tracker_res = (bboxes, ids, scores) | ||
| self._keypoints = frame_keypoints | ||
|
|
||
| return frame_keypoints |
There was a problem hiding this comment.
Here just return the keypoints, and on line 272 save the scores_bbox when self.save_state.
JunkyByte
reviewed
Jul 16, 2024
|
|
||
| img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) | ||
| # print('Img read, ', img.shape) | ||
| frame_keypoints, conf_score = model.inference(img) |
There was a problem hiding this comment.
access the model scores_bbox directly
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Added code to evaluate the models on COCO val set. Instructions added in the readme under 'Evaluation on COCO dataset'.