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I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
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[NeurIPS2025 spotlight★] Official implementation for "RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation".
This is the repository for the NBMOD dataset and the code of the paper "NBMOD: Find It and Grasp It in Noisy Background.
This dataset is annotated with Rolabelimg and contains 4400 images of 11 fruits.
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
针对不同旋转矩形框标签格式的转换(txt和xml)
Label Rotated Rect On Images for training
Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for inference.
Original implementation of the paper "Recurrent Convolutional Fusion for RGB-D Object Recognition": https://arxiv.org/pdf/1806.01673.pdf
The Open Source Framework for Machine Vision
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
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