replace pphumanseg with a simplified one (#143)

* replace pphumanseg with a simplified one

* update demo default

models/human_segmentation_pphumanseg/demo.py

@@ -33,7 +33,7 @@ except:
 
 parser = argparse.ArgumentParser(description='PPHumanSeg (https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.2/contrib/PP-HumanSeg)')
 parser.add_argument('--input', '-i', type=str, help='Usage: Set input path to a certain image, omit if using camera.')
-parser.add_argument('--model', '-m', type=str, default='human_segmentation_pphumanseg_2021oct.onnx', help='Usage: Set model path, defaults to human_segmentation_pphumanseg_2021oct.onnx.')
+parser.add_argument('--model', '-m', type=str, default='human_segmentation_pphumanseg_2023mar.onnx', help='Usage: Set model path, defaults to human_segmentation_pphumanseg_2023mar.onnx.')
 parser.add_argument('--backend', '-b', type=int, default=backends[0], help=help_msg_backends.format(*backends))
 parser.add_argument('--target', '-t', type=int, default=targets[0], help=help_msg_targets.format(*targets))
 parser.add_argument('--save', '-s', type=str, default=False, help='Usage: Set “True” to save a file with results. Invalid in case of camera input. Default will be set to “False”.')
@@ -153,4 +153,3 @@ if __name__ == '__main__':
             cv.imshow('PPHumanSeg Demo', frame)
 
             tm.reset()
-

tools/quantize/quantize-ort.py

@@ -91,7 +91,7 @@ models=dict(
     sface=Quantize(model_path='../../models/face_recognition_sface/face_recognition_sface_2021dec.onnx',
                    calibration_image_dir='../../benchmark/data/face_recognition',
                    transforms=Compose([Resize(size=(112, 112))])),
-    pphumenseg=Quantize(model_path='../../models/human_segmentation_pphumanseg/human_segmentation_pphumanseg_2021oct.onnx',
+    pphumanseg=Quantize(model_path='../../models/human_segmentation_pphumanseg/human_segmentation_pphumanseg_2023mar.onnx',
                         calibration_image_dir='../../benchmark/data/human_segmentation',
                         transforms=Compose([Resize(size=(192, 192))])),
     ppresnet50=Quantize(model_path='../../models/image_classification_ppresnet/image_classification_ppresnet50_2022jan.onnx',