Face Recognition #110
Open
Face Recognition #110
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
Python programs to capture a user's face and generate dataset. Then, detect and recognize user's face by using opencv. Readme and sample output has been included in this PR.
Open
geekquad
requested changes
Mar 30, 2021
There was a problem hiding this comment.
Hey @Dhanush2612,
Please go through the Contributing Guidelines. We are accepting implementations only in a .ipython Notebook. Please make the necessary changes.
|
Sure |
|
@geekquad |
geekquad
requested changes
Apr 2, 2021
There was a problem hiding this comment.
Hey @Dhanush2612,
The structure looks messy and there Is no description as to which file is achieving what task.
Please do the needful.
|
Ok |
|
@geekquad |
|
Hey @Dhanush2612, files changed show no difference. |
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Outdated suggestions cannot be applied.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.
Python programs to capture a user's face and generate dataset. Then, detect and recognize user's face by using opencv.
Readme and sample output has been included in this PR.