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mszarvas's Projects

agi2nerf icon agi2nerf

Simple tool for converting Agisoft XML files to NERF JSON files for https://github.com/NVlabs/instant-ngp

blendernerf icon blendernerf

Easy NeRF synthetic dataset creation within Blender

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

junkyard icon junkyard

Collection of test files, probes, hacks and ideas

learn-optimizer-rgdn icon learn-optimizer-rgdn

Learning Deep Gradient Descent Optimization for Image Deconvolution. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

motion-flow-syn icon motion-flow-syn

Motion flow and corresponding blurry image synthesis. Training data generation for "From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (CVPR'17)".

openqnx icon openqnx

mirror of git://git.code.sf.net/p/monartis/openqnx

orthogonality-in-cnns icon orthogonality-in-cnns

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

pedestron icon pedestron

[Pedestron] Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

review_object_detection_metrics icon review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

rr icon rr

Record and Replay Framework

sketchedit icon sketchedit

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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