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3d-object-classification-demo-multiview's Introduction

Demo rgbd object classifier

running model: fully connected to fuse views in a ring, average voting (no attention), square ring setting:

class_score = test_score

class_score = class_score.reshape(-1,N_RING,20)

arg_mean = np.mean(class_score,1)

preds = np.argmax(arg_mean,1)

to run:

  • install xvbf (x virtual frame buffer) (if use a headless linux instance)

  • trimesh

  • tf & pytorch.

files:

app.py: main app server

classìfy model: input 26 imgs, output class scores.

extract_feature: extract resnet-50 2048-d for each imgs.

render_26: render 26 colored view around the objects.

screenshot

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3d-object-classification-demo-multiview's Issues

Vulnerability report

We are a group of researchers from Leiden University, and we conduct research on vulnerabilities in open-source software. We have discovered and verified a high-severity vulnerability in your project(ngocminhbui/3d-object-classification-demo-multiview). Explaining the vulnerability further in this issue could allow malicious users to access details, so we recommend enabling private vulnerability reporting on GitHub to discuss this matter confidentially.
After you have enabled this feature, please add a comment to this issue so we can continue our discussion. If you have any questions, feel free to leave a reply here or send an email to: j.akhoundali [at] liacs.leidenuniv.nl

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