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Mask_RCNN discussion
Mask_RCNN reviews and mentions
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Octopuses seen hunting together with fish, punching those that don't cooperate
The study: https://www.nature.com/articles/s41559-024-02525-2
Sampaio et al., Multidimensional social influence drives leadership and composition-dependent success in octopus–fish hunting groups
I was curious about the the 3D reconstruction of the scenes.
> We manually tracked individuals in the videos using the software Computer Vision Annotation Tool. We annotated three frames per second, which yielded a time resolution of 0.33 s for animal movement.
> We then used another software developed to incorporate the previously tracked animals in each camera in the ‘colmap’ habitat models and camera paths, ‘multiviewtracks’ or ‘mvt’ [29]
> [29] Francisco, F. A., Nührenberg, P. & Jordan, A. High-resolution, non-invasive animal tracking and reconstruction of local environment in aquatic ecosystems
Seems it was specifically developed to track fish. Cool project.
Links to https://github.com/matterport/Mask_RCNN and https://github.com/pnuehrenberg/multiviewtracks.
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Intuituvely Understanding Harris Corner Detector
The most widely used algorithms for classical feature detection today are "whatever opencv implements"
In terms of tech that's advancing at the moment? https://co-tracker.github.io/ if you want to track individual points, https://github.com/matterport/Mask_RCNN and its descendents if you want to detect, say, the cover of a book.
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Analyze defects and errors in the created images
Mask R-CNN
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List of AI-Models
Click to Learn more...
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Thought Dump About Recent AI Advancements And Palantir
- Mask RCNN https://github.com/matterport/Mask_RCNN (open source, so also not Palantir's)
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Why are python dependencies so broken?
pip install git+https://github.com/matterport/Mask_RCNN
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DeepCreamPy & Hent-AI Guide: Installation and anime censorship removal (Version 2)
It is important to realize that to do its masking procedures, Hent-AI uses the Mask RCNN (MRCNN) package from Matterport. The problem with this version of MRCNN is that it is not compatible with Tensorflow 2.X versions, essentially limiting Hent-AI compatibility to strict Tensorflow 1.X versions. Since Tensorflow 1.15 is the last of the Tensorflow 1.X versions and uses CUDA 10.0, which supports a maximum compute capability of 7.5, this means that the last NVIDIA GPU series that is compatible with the original Hent-AI implementation is the RTX 2000 series. This is, of course, not optimal since it means that RTX 3000 series and later GPUs cannot be used despite their significant computing power and high VRAM.
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[P] Mask R-CNN (matterport) does not generate masks or just generates them randomly
I read that it could bethe problem with scipy version (https://github.com/matterport/Mask_RCNN/issues/2122) so I downgraded it, I also tried to modify shift = np.array([0, 0, 1., 1.]) in utils.py but nothing helped.
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Mask RCNN importing error
I am assuming you did a pip install of this github repository, or did you run pip install mrcnn. The mrcnn package on pypi is just an example package and doesn't have any useful functionality. In addition, where did you get the code from that you are trying to run, from someone else or did you write it yourself? Reason I am asking is because the import error is to be expected since there indeed is no InferenceConfig class defined in mrcnn.visualize.
- Maskrcnn - Mask r-cnn for object detection and segmentation
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A note from our sponsor - InfluxDB
influxdata.com | 27 Apr 2025
Stats
matterport/Mask_RCNN is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Mask_RCNN is Python.
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