[Doc] Update examples to use the newest api (#731)

use the latest api

examples/vision/detection/paddledetection/python/infer_faster_rcnn.py

@@ -61,7 +61,7 @@ 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/paddledetection/python/infer_mask_rcnn.py

@@ -68,7 +68,7 @@ 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/paddledetection/python/infer_picodet.py

@@ -59,7 +59,7 @@ 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/paddledetection/python/infer_ppyolo.py

@@ -61,7 +61,7 @@ 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/paddledetection/python/infer_ppyoloe.py

@@ -60,7 +60,7 @@ 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/paddledetection/python/infer_ssd.py

@@ -41,7 +41,7 @@ model = fd.vision.detection.SSD(
 
 # 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/paddledetection/python/infer_yolov3.py

@@ -59,7 +59,7 @@ 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/paddledetection/python/infer_yolox.py

@@ -59,7 +59,7 @@ 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