deepcell-imaging
Notes / utilities / stuff for Deep Cell imaging project (by dchaley)
deepcell-tf
Deep Learning Library for Single Cell Analysis (by vanvalenlab)
| deepcell-imaging | deepcell-tf | |
|---|---|---|
| 3 | 2 | |
| 7 | 393 | |
| - | 0.5% | |
| 9.4 | 5.6 | |
| 8 days ago | about 2 months ago | |
| Jupyter Notebook | Python | |
| - | GNU General Public License v3.0 or later |
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.
deepcell-imaging
Posts with mentions or reviews of deepcell-imaging.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-07.
-
Container size analysis: TensorFlow 2.8 base image vs Deep Learning
FROM us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-8.py37 ADD https://api.github.com/repos/dchaley/deepcell-imaging/git/refs/heads/main version.json RUN git clone https://github.com/dchaley/deepcell-imaging.git WORKDIR "/deepcell-imaging" RUN pip install --user --upgrade --quiet -r requirements.txt ENTRYPOINT ["python", "benchmarking/deepcell-e2e/benchmark.py"]
-
First impressions: GPU + GCP Batch
I forgot BigQuery has a fairly low rate limit (5 ops per 10 seconds). So a batch of 10 finishing too close would overwhelm the table update. Quick fix with retry logic.
-
Using chaos to build confidence in software rewrites
My use case isn't so simple though, I'm reimplementing scikit's reconstruction algorithm using the fast-hybrid algorithm.
deepcell-tf
Posts with mentions or reviews of deepcell-tf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-07.
-
Container size analysis: TensorFlow 2.8 base image vs Deep Learning
We figured we must be able to build a container from a slimmer TensorFlow base image. We knew the DeepCell team had done some work scaling DeepCell using Kubernetes on GKE. Their Dockerfile confirmed that; just use TF's image.
-
First impressions: GPU + GCP Batch
Weihao and I have been working on programmatic benchmarks for DeepCell on Google Batch.
What are some alternatives?
When comparing deepcell-imaging and deepcell-tf you can also consider the following projects:
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
supervision - We write your reusable computer vision tools. 💜
lanenet-lane-detection - Unofficial implemention of lanenet model for real time lane detection