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DeepDetect v0.26.0 source code.zip (7.0 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| DeepDetect v0.26.0 source code.tar.gz | 2024-11-08 | 6.6 MB | |
| DeepDetect v0.26.0 source code.zip | 2024-11-08 | 7.0 MB | |
| README.md | 2024-11-08 | 2.0 kB | |
| Totals: 3 Items | 13.6 MB | 0 | |
Features
- generate mask for diffusion models in trt (5c16ad0)
- opencv optional build (ce9b9a7)
- output: add false positive metrics for detection (bec49c4)
- torch: add JIT FusionStrategy selection (d2331be)
- torch: Added script to trace HuggingFace Transformers CLIP models based on https://huggingface.co/openai/clip-vit-large-patch14-336 (c2373ea)
Bug Fixes
- torch: errors in input connector are caught correctly (ac09c52)
- torch: segmentation with test_batch_size > 1 (0d8d3da)
Docker images:
- CPU version:
docker pull docker.jolibrain.com/deepdetect_cpu:v0.26.0 - GPU (CUDA only):
docker pull docker.jolibrain.com/deepdetect_gpu:v0.26.0 - GPU (CUDA and Tensorrt) :
docker pull docker.jolibrain.com/deepdetect_cpu_tensorrt:v0.26.0 - GPU with torch backend:
docker pull docker.jolibrain.com/deepdetect_gpu_torch:v0.26.0 - All images available from https://docker.jolibrain.com/, list images with {"repositories":["cuda12.5.1-devel-ubuntu22.04-preinst-devel","deepdetect_cpu","deepdetect_cpu_torch","deepdetect_gpu","deepdetect_gpu_tensorrt","deepdetect_gpu_torch","filebrowser","gpustat_server","joligen_server","joligen_ui","jupyter_dd_notebook","platform_annotations_backend","platform_annotations_frontend","platform_data","platform_ui"]}