1 | initial version |
Please add more details about
I tried many ways but I failed. Can you help me?
What kind of problem you have? I tried to run this mode using the latest state of OpenCV and I it runs fine:
import cv2 as cv
import numpy as np
net = cv.dnn.readNet('east_model_3T256.pb')
inp = np.random.standard_normal([1, 3, 320, 320]).astype(np.float32)
net.setInput(inp)
out = net.forward()
print(out.shape) # (1, 7, 80, 80)
2 | No.2 Revision |
Please add more details about
I tried many ways but I failed. Can you help me?
What kind of problem you have? I tried to run this mode using the latest state of OpenCV and I it runs fine:
import cv2 as cv
import numpy as np
net = cv.dnn.readNet('east_model_3T256.pb')
inp = np.random.standard_normal([1, 3, 320, 320]).astype(np.float32)
net.setInput(inp)
out = net.forward()
print(out.shape) # (1, 7, 80, 80)