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1k3d68.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:df5c06b8a0c12e422b2ed8947b8869faa4105387f199c477af038aa01f9a45cc
+size 143607619

2d106det.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f001b856447c413801ef5c42091ed0cd516fcd21f2d6b79635b1e733a7109dbf
+size 5030888

genderage.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fde69b1c810857b88c64a335084f1c3fe8f01246c9a191b48c7bb756d6652fb
+size 1322532

glintr100.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:37afe35066aa3ef11d927da3758dc14dac3d0afed71558fc8488877a5fcf150b
+size 156530760

inference.py

@@ -8,4 +8,15 @@ model = get_model("r100", dropout=0.0, fp16=True, num_features=512).cuda()
 model.load_state_dict(torch.load("model.pt"))
 model.eval()
 img = pil_to_tensor(Image.open("test.jpg").resize((112,112))).permute(0, 1, 2).to("cuda", torch.float16).unsqueeze(dim = 0)
-embeddings = model(img)
+embeddings = model(img)
+
+from insightface.app import FaceAnalysis
+import insightface 
+from huggingface_hub import snapshot_download
+snapshot_download('Warlord-K/resnet100', local_dir='models/antelopev2')
+app = FaceAnalysis(
+            name='antelopev2', root='.', providers=['CUDAExecutionProvider', 'CPUExecutionProvider']
+        )
+app.prepare(ctx_id=0, det_size=(640, 640))
+handler_ante = insightface.model_zoo.get_model('models/antelopev2/glintr100.onnx')
+handler_ante.prepare(ctx_id=0)

model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:37afe35066aa3ef11d927da3758dc14dac3d0afed71558fc8488877a5fcf150b
+size 156530760

scrfd_10g_bnkps.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5838f7fe053675b1c7a08b633df49e7af5495cee0493c7dcf6697200b85b5b91
+size 16923827