Here are
23 public repositories
matching this topic...
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Updated
Sep 5, 2019
Python
Detectorch - detectron for PyTorch
Updated
Oct 30, 2018
Jupyter Notebook
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
Updated
Jan 7, 2020
Python
RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Updated
Jul 1, 2020
Python
[Pedestron] Pedestrian Detection: The Elephant In The Room. On ArXiv 2020
Updated
Jun 25, 2020
Python
A PyTorch Detectron codebase for domain adaptation of object detectors.
Updated
Jun 12, 2019
Python
7th place solution for the 2018 Data Science Bowl with a score of 0.591
Updated
Aug 21, 2019
Python
Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)
Updated
Sep 1, 2019
Python
Real-time Detectron using webcam.
Updated
Sep 6, 2018
Python
Domain Adaptive Faster R-CNN in Detectron
Updated
Oct 7, 2019
Python
Software to visualize detectron training stats
Updated
Nov 20, 2018
Java
Detectron with VoVNet(CVPRW'19) backbone networks
Updated
Aug 12, 2019
Python
Detectron with VoVNet : select the vovnet branch
Updated
Aug 8, 2019
Python
Updated
Jul 15, 2019
Python
The Jakarnotator is an annotation tool to create your own database for instance segmentation problem.
Updated
Nov 20, 2018
JavaScript
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Updated
Apr 27, 2019
Python
Epic Kitchens Object Detector and Feature Extractor using Faster-RCNN with Detectron2
Updated
Apr 5, 2020
Python
A simple tool to visualize your training process from detectron logs
Updated
Aug 21, 2018
HTML
Resource for ADS Project Report
Updated
Nov 15, 2019
Python
Table-Detection-using-Faster-RCNN-Detectron2
Updated
May 29, 2020
Python
Contains all the state-of-art detection techniques speciaqlly adapted to run in the browser and linked to all kinds of different data.
Updated
Jan 13, 2020
Jupyter Notebook
The job interview for "Turk AI" company
Updated
Apr 10, 2020
Jupyter Notebook
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Hi,
I try to understand Deepdetect right now, starting with the Plattforms Docker container.
It looks great on pictures, but I have a hard time right now using it :)
My Problem: The docs seems to step over important points, like using JupyterLab. All examples shows the finished Custom masks, but how do I get them?
Is there something missing in the docs?
Example: https://www.deepdetec