bearid
Hypraptive BearID project. FaceNet for bears. (by hypraptive)
facetorch
Python library for analysing faces using PyTorch (by tomas-gajarsky)
bearid | facetorch | |
---|---|---|
3 | 6 | |
46 | 408 | |
- | - | |
3.3 | 8.7 | |
4 months ago | 3 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bearid
Posts with mentions or reviews of bearid.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-10.
-
Bearcam Companion: GitHub, User Groups and Rekognition
By the end of my previous post, I had reached a good baseline for the Bearcam Companion app. It was past time to start tracking the code in a version control system. Since we already have the BearID Project on GitHub, I decided to use the same for this project.
-
BearCam Companion
We initially focused on building a photo dataset of the bears at Brooks Falls. We collected photos from individuals and a large set from the National Parks Service's bear monitoring program at Katmai. From there we got involved with Dr. Melanie Clapham, a conservation scientist in British Columbia, studying the bears of Glendale Cove. We built a computer to run our ML training and developed an open source application, bearid, which we provided to Melanie as a Docker container she could run in the field on a laptop.
-
AWS Community Builders: My First Step
The BearID Project application bearid runs on a server. It takes photos or videos as inputs and outputs a sequence of boxes labeled with the bear's name. This can only happen after someone goes into the field (or, forest), collects a bunch of SD cards from trail cameras, and uploads them to the server. This happens a few times a year. If the trail camera was connected, it could send data to the cloud, but the connection would probably be expensive. If the camera could detect and identify the bear and send only the metadata to a server, we could update the researcher in real time. I have less experience in this area, so connecting it all together with AWS services will be a real learning experience for me.
facetorch
Posts with mentions or reviews of facetorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-23.
-
facetorch - Python library for face analysis using neural networks written in PyTorch
facetorch:
-
Models for facial identification?
You can use embeddings produced by facetorch library to represent faces. The next step is to build a database of faces and face embedding similarity engine. https://github.com/tomas-gajarsky/facetorch
-
facetorch
facetorch is a Python library for analysing faces using TorchScript
- facetorch: analyze faces using TorchScript
- facetorch - analyze faces using TorchScript
What are some alternatives?
When comparing bearid and facetorch you can also consider the following projects:
facenet - Face recognition using Tensorflow
pytorch-ssim - pytorch structural similarity (SSIM) loss