[Other]Update im.copy() to im in examples (#854)

* Update keypointdetection result docs

* Update im.copy() to im in examples

examples/vision/classification/resnet/python/infer.py

@@ -46,5 +46,5 @@ model = fd.vision.classification.ResNet(
     args.model, runtime_option=runtime_option)
 # 预测图片分类结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy(), args.topk)
+result = model.predict(im, args.topk)
 print(result)

examples/vision/classification/yolov5cls/python/infer.py

@@ -47,5 +47,5 @@ model = fd.vision.classification.YOLOv5Cls(
 
 # 预测图片分类结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy(), args.topk)
+result = model.predict(im, args.topk)
 print(result)

examples/vision/detection/nanodet_plus/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/scaledyolov4/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolor/python/infer.py

@@ -54,7 +54,7 @@ else:
     image = args.image
 
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov5/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov5/quantize/python/infer.py

@@ -71,7 +71,7 @@ model = fd.vision.detection.YOLOv5(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov5lite/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov6/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov6/quantize/python/infer.py

@@ -71,7 +71,7 @@ model = fd.vision.detection.YOLOv6(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov7/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 
 # 预测结果可视化
 vis_im = fd.vision.vis_detection(im, result)

examples/vision/detection/yolov7/quantize/python/infer.py

@@ -71,7 +71,7 @@ model = fd.vision.detection.YOLOv7(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov7end2end_ort/python/infer.py

@@ -44,7 +44,7 @@ model = fd.vision.detection.YOLOv7End2EndORT(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolov7end2end_trt/python/infer.py

@@ -44,7 +44,7 @@ model = fd.vision.detection.YOLOv7End2EndTRT(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 预测结果可视化

examples/vision/detection/yolox/python/infer.py

@@ -52,7 +52,7 @@ if args.image is None:
 else:
     image = args.image
 im = cv2.imread(image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 预测结果可视化
 vis_im = fd.vision.vis_detection(im, result)

examples/vision/facealign/face_landmark_1000/python/infer.py

@@ -82,7 +82,7 @@ model = fd.vision.facealign.FaceLandmark1000(
 
 # for image
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_face_alignment(im, result)

examples/vision/facealign/pfld/python/infer.py

@@ -80,7 +80,7 @@ model = fd.vision.facealign.PFLD(args.model, runtime_option=runtime_option)
 
 # for image
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_face_alignment(im, result)

examples/vision/facealign/pipnet/python/infer.py

@@ -85,7 +85,7 @@ model = fd.vision.facealign.PIPNet(args.model, runtime_option=runtime_option)
 model.num_landmarks = args.num_landmarks
 # for image
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_face_alignment(im, result)

examples/vision/facedet/retinaface/python/infer.py

@@ -43,7 +43,7 @@ model = fd.vision.facedet.RetinaFace(args.model, runtime_option=runtime_option)
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 预测结果可视化
 vis_im = fd.vision.vis_face_detection(im, result)

examples/vision/facedet/scrfd/python/infer.py

@@ -43,7 +43,7 @@ model = fd.vision.facedet.SCRFD(args.model, runtime_option=runtime_option)
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 预测结果可视化
 vis_im = fd.vision.vis_face_detection(im, result)

examples/vision/facedet/scrfd/rknpu2/python/infer.py

@@ -49,7 +49,7 @@ model.disable_normalize_and_permute()
 
 # 预测图片分割结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 可视化结果

examples/vision/facedet/ultraface/python/infer.py

@@ -43,7 +43,7 @@ model = fd.vision.facedet.UltraFace(args.model, runtime_option=runtime_option)
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 预测结果可视化
 vis_im = fd.vision.vis_face_detection(im, result)

examples/vision/facedet/yolov5face/python/infer.py

@@ -43,7 +43,7 @@ model = fd.vision.facedet.YOLOv5Face(args.model, runtime_option=runtime_option)
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 预测结果可视化
 vis_im = fd.vision.vis_face_detection(im, result)

examples/vision/headpose/fsanet/python/infer.py

@@ -80,7 +80,7 @@ model = fd.vision.headpose.FSANet(args.model, runtime_option=runtime_option)
 
 # for image
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_headpose(im, result)

examples/vision/matting/modnet/python/infer.py

@@ -52,7 +52,7 @@ model.size = (256, 256)
 # 预测图片抠图结果
 im = cv2.imread(args.image)
 bg = cv2.imread(args.bg)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_matting_alpha(im, result)

examples/vision/matting/ppmatting/python/infer.py

@@ -56,7 +56,7 @@ model = fd.vision.matting.PPMatting(
 # 预测图片抠图结果
 im = cv2.imread(args.image)
 bg = cv2.imread(args.bg)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 # 可视化结果
 vis_im = fd.vision.vis_matting(im, result)

examples/vision/matting/rvm/python/infer.py

@@ -73,7 +73,7 @@ if args.video is not None:
     # for video
     cap = cv2.VideoCapture(args.video)
     # Define the codec and create VideoWriter object
-    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+    fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
     composition = cv2.VideoWriter(output_composition, fourcc, 20.0,
                                   (1080, 1920))
     alpha = cv2.VideoWriter(output_alpha, fourcc, 20.0, (1080, 1920))
@@ -100,7 +100,7 @@ if args.video is not None:
 if args.image is not None:
     # for image
     im = cv2.imread(args.image)
-    result = model.predict(im.copy())
+    result = model.predict(im)
     print(result)
     # 可视化结果
     vis_im = fd.vision.vis_matting(im, result)

examples/vision/segmentation/paddleseg/python/infer.py

@@ -49,7 +49,7 @@ model = fd.vision.segmentation.PaddleSegModel(
 
 # 预测图片分割结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 可视化结果

examples/vision/segmentation/paddleseg/quantize/python/infer.py

@@ -72,5 +72,5 @@ model = fd.vision.segmentation.PaddleSegModel(
 
 # 预测图片检测结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)

examples/vision/segmentation/paddleseg/rknpu2/python/infer.py

@@ -53,7 +53,7 @@ model.disable_normalize_and_permute()
 
 # 预测图片分割结果
 im = cv2.imread(args.image)
-result = model.predict(im.copy())
+result = model.predict(im)
 print(result)
 
 # 可视化结果