AdrianNunez/Fall-Detection-with-CNNs-and-Optical-Flow 126
Repository containing the material required to reproduce the results of the paper "Vision-Based Fall Detection with Convolutional Neural Networks"
Borda/BIRL 51
BIRL: Benchmark on Image Registration methods with Landmark validations
danifranco/EM_Image_Segmentation 3
Deep Learning approaches for EM data
Pixel-based Machine Learning for ImageJ and beyond
ImageJ/Fiji library and plugin to perform watershed in 3D images
This repo aims to benchmark Amazon AWS DNN performance with Caffe, TensorFlow and OpenVINO models, using OpenCV and OpenVINO IE as inference backend engines.
CVPD/Trainable_Superpixel_Segmentation 1
This plugin has as a purpose the supervised classification of images using superpixels. To do so this plugin uses ImageJ, Weka and MorphoLibJ. ImageJ provides image handling support, Weka supports classification support and MorphoLibJ provides image feature extraction based on superpixel images.
esgomezm/NEUBIAS_chapter_DL_2020 0
Tthis repository contains all the material for the chapter "Building a Bioimage Analysis Workflow using Deep Learning"
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fix computation of max values when max value is negative
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issue commentijpb/MorphoLibJ
Bug in Intensity Measure 2D/3D - Max value in 32bit images
Hi, thanks for reporting! I think this may be due to a wrong initialization of the max value. I will check it!
David
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startedome/omero-insight
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issue openedijpb/MorphoLibJ
Bug in Intensity Measure 2D/3D - Max value in 32bit images
Hi,
When I run Intensity Measure 2D/3D on 32 bit image that has negative values (output of FeatureJ Laplacian) with corresponding label image. The Max value is not calculated correctly for cases in which the Max is negative. a low value 4.900e-324 is given instead.
Thanks Ofra
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PR closed fiji/jython-autocompletion
See #4.
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pull request commentfiji/jython-autocompletion
Pin to script-editor version 0.5.9
I am closing this, as this project will soon require script-editor version 0.5.10. There are two things I need from any of you (@imagejan , @frauzufall , @acardona ):
- Merge https://github.com/scijava/script-editor/pull/51 and
- Release script-editor-0.5.10
Currently, this project is pinned to a SNAPSHOT version of the editor and Travis build is failing. Once script-editor 0.5.10 is released, I will release here too, and upload both jars the the Java 8 update site . Mmmm.. Releasing inter-twined projects is indeed cumbersome.
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Pin to script-editor version 0.5.9
commit sha 9c3567baf01e71dafadd53f7c24651af316647cd
Replace String suggestions with CompletionText suggestions org.scijava.ui.swing.script.autocompletion.CompletionText has major advantages: It holds the replacement text plus other fields such as summary and description (populated via org.scijava.ui.swing.script.autocompletion.ClassUtil) Requires script-editor 0.5.10-SNASHOT or newer
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Completion list: Implement 'fuzzy search' with sorted hits This is currently only applied to methods and fields, not imports
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Remove unused import
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Update pom
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pull request commentscijava/script-editor
Extend Jython auto-completion to instantiated classes
@acardona, I don't seem to have write access to this repository. Could you please merge this? Or give me write permissions? Thanks!
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2021.01.24 (1.53h54; Calibration bars)
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2021.01.24 (1.53h53; Selection brush tool)
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issue openedjantic/DeOldify
Remove Water Mark on Jupyter Lab
I successfully got DeOldify working on Jupyter Lab! Is there any way to remove the watermark from your video using that program? I could not find an option to uncheck the watermark.
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pull request commentscijava/script-editor
Extend Jython auto-completion to instantiated classes
Sounds great! On the subclasses: a one-liner filtering for dollar signs '$', indicative of subclasses, would do, at the level of the returned stream or list of autocompletions.
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pull request commentscijava/script-editor
Extend Jython auto-completion to instantiated classes
@acardona, sincere apologies for the delay. 'Real work' got in the way. I think I have it working, but still need to test it more seriously. Hyperlinks seem to be working, and the completion lists the type for both fields and methods. If there are no major issues I will push and release tonight.
There are still some (minor) issues like the .acess$000 entry below, but we can always tackle this at a later time point), otherwise it will never be ready
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issue commentandreas128/SRFlow
Hi @andreas128 ,
I noticed few differences in the code and paper. Can you please put some light on it.
- In paper actnorm and affine layers have scaling first and then the shifting is applied, whereas in the code its the other way.
- I also found some use of exp() switched between the calculation of value and logdets as compared to paper.
can this be possible reason for the above shown artifacts.?
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issue closedjantic/DeOldify
Fastai Issue with DeOldify Video Colorization.
I got an error with fastai even though I installed it will conda at https://github.com/fastai/fastai. I was trying to run the video colorizer and I cannot seem to get it working. Please provide me with some info on this! Thanks! It looks like visualize.py is unable to load fastai.
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TheVincinator
issue commentjantic/DeOldify
Fastai Issue with DeOldify Video Colorization.
Nevermind, I got it working!
comment created time in 2 days
issue openedjantic/DeOldify
Opaque ffmpeg exception thrown running video colorization
i was just trying to run a quick test, and ffmpeg is having an issue. the error it throws is opaque and unhelpful:
Error Traceback (most recent call last)
<ipython-input-30-6f2a324612f0> in <module>()
4
5 if source_url is not None and source_url !='':
----> 6 video_path = colorizer.colorize_from_url(source_url, 'video.mp4', render_factor, watermarked=watermarked)
7 show_video_in_notebook(video_path)
8 else:
3 frames
/usr/local/lib/python3.6/dist-packages/ffmpeg/_run.py in run(stream_spec, cmd, capture_stdout, capture_stderr, input, quiet, overwrite_output)
303 retcode = process.poll()
304 if retcode:
--> 305 raise Error('ffmpeg', out, err)
306 return out, err
307
Error: ffmpeg error (see stderr output for detail)
the unhelpful error seems to be coming from ffmpeg.
i tried to add capture_stderr=True to the run call in _extract_raw_frames, but it didn't change the output.
attempting to inspect the exception doesn't produce much more information:
source_url = 'https://youtu.be/J7GY1Xg6X20' #@param {type:"string"}
render_factor = 21 #@param {type: "slider", min: 5, max: 40}
watermarked = True #@param {type:"boolean"}
if source_url is not None and source_url !='':
try:
video_path = colorizer.colorize_from_url(source_url, 'video.mp4', render_factor, watermarked=watermarked)
show_video_in_notebook(video_path)
except Exception as e:
print(f"Unable to colorize video: {e}")
print(f"{e.args}")
else:
print('Provide a video url and try again.')
Unable to colorize video: ffmpeg error (see stderr output for detail)
('ffmpeg error (see stderr output for detail)',)
any leads would be greatly appreciated!
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issue commentandreas128/SRFlow
How does the Normalizing Flow loss in SRFlow behave?
Hi @andreas128,
Thanks, that is something I was looking for and it clears my doubt about the logdets term.
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issue commentandreas128/SRFlow
Negative loss? is that a problem?
The final loss of SRFlow is negative and steadily decreasing:
We did not track those two components separately. Please try to run our code and log the loss (NLL is defined here).
Did that help?
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issue commentandreas128/SRFlow
Thanks, did the pretrained models work for you?
<br>
The error occurs when back-propagating thought the 1x1 convolution.
- Could you please post your training NLL from tensorboard?
- If you train on a different dataset, please try to reduce the learning rate.
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issue openedandreas128/SRFlow
Thx author!This is a great work! But I train x4 with problem. Skipping ERROR caught in nll = model.optimize_parameters(current_step): svd_cuda: the updating process of SBDSDC did not converge (error: 11)
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issue commentjantic/DeOldify
Fastai Issue with DeOldify Video Colorization.
I was also wondering if it was my GPU holding me back. I am currently using the Radeon 5700 XT. Does it require an NVIDIA GPU? I found this article on it: https://www.fast.ai/2017/11/16/what-you-need/
comment created time in 2 days
issue openedjantic/DeOldify
Fastai Issue with DeOldify Video Colorization.
I got an error with fastai even though I installed it will conda at https://github.com/fastai/fastai. I was trying to run the video colorizer and I cannot seem to get it working. Please provide me with some info on this! Thanks! It looks like visualize.py is unable to load fastai.
created time in 2 days