Pre commit fixes

Author: chilukam-qti

sam-vit-base/LICENSE

@@ -79,4 +79,4 @@ You agree not to use the Model or Derivatives of the Model:
 - To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm;
 - For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories;
 - To provide medical advice and medical results interpretation;
-- To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).
+- To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).

sam-vit-base/QNN/README.md

@@ -61,4 +61,4 @@ Execute SAM model in **AOT Compilation Python Environment** using following comm
 
 ```bash
 python sam_mask_generator.py --model_ve path/to/encoder_model.onnx --model_md path/to/decoder_model.onnx --image_path car.png --box_x 40 --box_y 235 --box_w 940 --box_h 490 --output_path car_mask.png
-```
+```

sam-vit-base/QNN/info.yml

@@ -22,4 +22,4 @@ recipes:
     devices:
     - npu
     ep: QNNExecutionProvider
-name: sam-vit-base
+name: sam-vit-base

sam-vit-base/QNN/model_patches.py

@@ -356,7 +356,7 @@ def _embed_points(self, points: torch.Tensor, labels: torch.Tensor, pad: bool) -
             point_embedding + self.model.point_embed[1].weight[None, None, :, :],
             point_embedding,
         )
-        
+
         point_embedding = torch.where(
             (labels == 2)[:, :, :, None],
             point_embedding + self.model.point_embed[2].weight[None, None, :, :],

sam-vit-base/QNN/sam_mask_box_decoder_qnn_fp16.json

@@ -81,4 +81,4 @@
     "target": "target_system",
     "cache_dir": "cache_olive_mask_box_decoder_fp16",
     "output_dir": "model/sam_olive_mask_box_decoder_fp16"
-}
+}

sam-vit-base/QNN/sam_mask_decoder_qnn_fp16_ctx.json

@@ -93,4 +93,4 @@
     "target": "target_system",
     "cache_dir": "cache_olive_mask_decoder_fp16",
     "output_dir": "model/sam_olive_mask_decoder_fp16"
-}
+}

sam-vit-base/QNN/sam_mask_generator.py

@@ -78,4 +78,4 @@ def main():
     print(f"Mask saved to {args.output_path}")
 
 if __name__ == "__main__":
-    main()
+    main()

sam-vit-base/QNN/sam_mask_point_decoder_qnn_fp16.json

@@ -81,4 +81,4 @@
     "target": "target_system",
     "cache_dir": "cache_olive_mask_point_decoder_fp16",
     "output_dir": "model/sam_olive_mask_point_decoder_fp16"
-}
+}

sam-vit-base/QNN/sam_vision_encoder_qnn_w8a8_ctx.json

@@ -116,4 +116,4 @@
     "target": "target_system",
     "cache_dir": "cache_olive_ve_w8a8_q100",
     "output_dir": "model/sam_olive_ve_w8a8_q100"
-}
+}

sam2.1-hiera-small/QNN/info.yml

@@ -13,4 +13,4 @@ recipes:
     - npu
     ep: QNNExecutionProvider
 
-name: sam2.1-hiera-small
+name: sam2.1-hiera-small