我想从同一个文件夹加载几个图像。但是,下面的代码产生了一个错误:
(TypeError Traceback (most recent call last)
<ipython-input-22-a30c12347c11> in <module>
2 import glob
3
----> 4 image_list = map(Image.open, glob('/Users/name/images/*.jpg'))
5
6 object_detection_api(image_list, rect_th=2, text_th=1, text_size=1)
TypeError: 'module' object is not callable)
我已经检查了一些故障排除页面,但给出的通知不断出现。我有什么需要修改的守则
from PIL import Image
import glob
image_list = map(Image.open, glob('/Users/name/images/*.jpg'))
object_detection_api(image_list, rect_th=2, text_th=1, text_size=1)
根据要求,我正在粘贴以下对象检测api的代码:
def object_detection_api(img_path, threshold=0.7, rect_th=3, text_size=3, text_th=3):
"""
object_detection_api
parameters:
- img_path - path of the input image
- threshold - threshold value for prediction score
- rect_th - thickness of bounding box
- text_size - size of the class label text
- text_th - thichness of the text
method:
- prediction is obtained from get_prediction method
- for each prediction, bounding box is drawn and text is written
with opencv
- the final image is displayed
"""
boxes, pred_cls = get_prediction(img_path, threshold)
img = cv2.imread(img_path)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
for i in range(len(boxes)):
cv2.rectangle(img, boxes[i][0], boxes[i][1],color=(0, 255, 0), thickness=rect_th)
cv2.putText(img,pred_cls[i], boxes[i][0], cv2.FONT_HERSHEY_SIMPLEX, text_size, (0,255,0),thickness=text_th)
plt.figure(figsize=(20,30))
plt.imshow(img)
plt.xticks([])
plt.yticks([])
plt.show()
差不多
我可以为你工作
请记住
map()
和filter
是生成器,如果您需要急切地评估它们,可以调用list()
将它们放入列表中感谢@Gwang JinKim的帮助
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