Instructions to use mobilint/RegNet_Y_800MF.tv2_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/RegNet_Y_800MF.tv2_in1k with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="RegNet_Y_800MF.tv2_in1k", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
Prepare board-specific Aries Vision artifacts
Browse files
aries-rb/regnet_y_800mf_IMAGENET1K_V2.mxq
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fe75de9e01e823985ecee329c2b0c2ea161c52183247e9ac71bd77f1b65394e
|
| 3 |
+
size 28751311
|