Bug fixes and corrections (#33)

* add (ms) to each hardware header

* add a argument for label path

* correct filenames for face detection

* add a download link for face recognition data

* fix path to face recognition data

* correct shasum for face_detection.zip

* fix filename for person_reid benchmark data package

demo.py

@@ -22,11 +22,12 @@ def str2bool(v):
 parser = argparse.ArgumentParser(description='Deep Residual Learning for Image Recognition (https://arxiv.org/abs/1512.03385, https://github.com/PaddlePaddle/PaddleHub)')
 parser.add_argument('--input', '-i', type=str, help='Path to the input image.')
 parser.add_argument('--model', '-m', type=str, default='image_classification_ppresnet50_2021oct.onnx', help='Path to the model.')
+parser.add_argument('--label', '-l', type=str, default='./imagenet_labels.txt', help='Path to the dataset labels.')
 args = parser.parse_args()
 
 if __name__ == '__main__':
     # Instantiate ResNet
-    model = PPResNet(modelPath=args.model)
+    model = PPResNet(modelPath=args.model, labelPath=args.label)
 
     # Read image and get a 224x224 crop from a 256x256 resized
     image = cv.imread(args.input)