ageitgey / ageitgey/face_recognition

Can't get face location with GPU process

Open
#701 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
56.8k
Forks
13.7k
PR merge metrics
No merged PRs in 30d

Description

Python : 3.5.6
Face_recognition : 1.2.3
dlib : 19.16.99
GPU : Tesla P100 16Gb

hello, i have problem when working with face on ID Card on my country, many ID card can detect the face location. But sometime i can't get face location with this line code. I have try add more in upsample like 5 (but got memory allocation) :

face_locations = face_recognition.face_locations(id_card, number_of_times_to_upsample=1, model="cnn")
compare_encode = face_recognition.face_encodings(idcard, face_locations)[0]
print(face_locations)

any advices for this ? Thank you

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No project file or test is named; start by reproducing the reported face_locations call with the listed Python, face_recognition, dlib, GPU, and CNN settings. Compare the failing ID-card images with successful ones and investigate the memory allocation reported when upsampling to 5. Done would require identifying a reproducible cause or documenting a confirmed workaround.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.