Push model using huggingface_hub.

README.md

@@ -0,0 +1,10 @@
+---
+library_name: ellipse-rcnn
+tags:
+- model_hub_mixin
+- pytorch_model_hub_mixin
+---
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: https://github.com/wdoppenberg/ellipse-rcnn
+- Docs: https://github.com/wdoppenberg/ellipse-rcnn

config.json

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+{
+  "backbone_name": "resnet50",
+  "bbox_reg_weights": [
+    1.0,
+    1.0,
+    1.0,
+    1.0
+  ],
+  "box_batch_size_per_image": 512,
+  "box_bg_iou_thresh": 0.5,
+  "box_detections_per_img": 100,
+  "box_fg_iou_thresh": 0.5,
+  "box_nms_thresh": 0.5,
+  "box_positive_fraction": 0.25,
+  "box_score_thresh": 0.05,
+  "ellipse_head": null,
+  "ellipse_loss_normalize": false,
+  "ellipse_loss_scale": 1.0,
+  "ellipse_predictor": null,
+  "ellipse_roi_pool": null,
+  "image_mean": null,
+  "image_std": null,
+  "max_size": 512,
+  "min_size": 256,
+  "num_classes": 2,
+  "rpn_anchor_generator": null,
+  "rpn_batch_size_per_image": 256,
+  "rpn_bg_iou_thresh": 0.3,
+  "rpn_fg_iou_thresh": 0.7,
+  "rpn_head": null,
+  "rpn_nms_thresh": 0.7,
+  "rpn_positive_fraction": 0.5,
+  "rpn_post_nms_top_n_test": 1000,
+  "rpn_post_nms_top_n_train": 2000,
+  "rpn_pre_nms_top_n_test": 1000,
+  "rpn_pre_nms_top_n_train": 2000,
+  "rpn_score_thresh": 0.0
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f925f688fc0a16c7c5a243e2dc649288523ce178fe602e1574470ecab0b72c7f
+size 166679588