Posts tagged Computer Vision
Image Classification with BEiT, MobileNet, and EfficientNet using ROCm on AMD GPUs
- 03 September 2024
Image classification is a key task in computer vision aiming at “understanding” an entire image. The outcome of an image classifier is a label or a category for the image as a whole, unlike object recognition where the task is to detect and classify multiple objects within an image.
Accelerate PyTorch Models using torch.compile on AMD GPUs with ROCm
- 11 July 2024
PyTorch 2.0 introduces torch.compile(), a tool to vastly accelerate PyTorch code and models. By converting PyTorch code into highly optimized kernels, torch.compile delivers substantial performance improvements with minimal changes to the existing codebase. This feature allows for precise optimization of individual functions, entire modules, and complex training loops, providing a versatile and powerful tool for enhancing computational efficiency.
Panoptic segmentation and instance segmentation with Detectron2 on AMD GPUs
- 23 May 2024
23, May 2024 by Vara Lakshmi Bayanagari.
Unlocking Vision-Text Dual-Encoding: Multi-GPU Training of a CLIP-Like Model
- 24 April 2024
24 Apr, 2024 by Sean Song.
Interacting with Contrastive Language-Image Pre-Training (CLIP) model on AMD GPU
- 16 April 2024
16, Apr 2024 by Sean Song.
Total body segmentation using MONAI Deploy on an AMD GPU
- 04 April 2024
4, Apr 2024 by Vara Lakshmi Bayanagari.
Building semantic search with SentenceTransformers on AMD
- 04 April 2024
4 Apr, 2024 by Fabricio Flores.