fix bug (#737)

* fix DLTP-61461

* fix install

data/realsr_preprocess/imresize.py

@@ -218,7 +218,7 @@ def kernel_shift(kernel, sf):
 
     # Before applying the shift, we first pad the kernel so that nothing is lost due to the shift
     # (biggest shift among dims + 1 for safety)
-    kernel = np.pad(kernel, np.int(np.ceil(np.max(shift_vec))) + 1, 'constant')
+    kernel = np.pad(kernel, np.int_(np.ceil(np.max(shift_vec))) + 1, 'constant')
 
     # Finally shift the kernel and return
     return interpolation.shift(kernel, shift_vec)

ppgan/faceutils/face_detection/utils.py

@@ -59,7 +59,7 @@ def crop(image, center, scale, resolution=256.0):
                           dtype=np.int32)
         newImg = np.zeros(newDim, dtype=np.uint8)
     else:
-        newDim = np.array([br[1] - ul[1], br[0] - ul[0]], dtype=np.int)
+        newDim = np.array([br[1] - ul[1], br[0] - ul[0]], dtype=np.int_)
         newImg = np.zeros(newDim, dtype=np.uint8)
     ht = image.shape[0]
     wd = image.shape[1]

ppgan/models/generators/generator_starganv2.py

@@ -240,8 +240,8 @@ class StarGANv2Mapping(nn.Layer):
         s = []
         for i in range(idx.shape[0]):
             s += [
-                out[idx[i].numpy().astype(np.int).tolist()[0],
-                    y[i].numpy().astype(np.int).tolist()[0]]
+                out[idx[i].numpy().astype(np.int_).tolist()[0],
+                    y[i].numpy().astype(np.int_).tolist()[0]]
             ]
         s = paddle.stack(s)
         s = paddle.reshape(s, (s.shape[0], -1))
@@ -286,8 +286,8 @@ class StarGANv2Style(nn.Layer):
         s = []
         for i in range(idx.shape[0]):
             s += [
-                out[idx[i].numpy().astype(np.int).tolist()[0],
-                    y[i].numpy().astype(np.int).tolist()[0]]
+                out[idx[i].numpy().astype(np.int_).tolist()[0],
+                    y[i].numpy().astype(np.int_).tolist()[0]]
             ]
         s = paddle.stack(s)
         s = paddle.reshape(s, (s.shape[0], -1))

requirements.txt

@@ -2,11 +2,11 @@ tqdm
 PyYAML>=5.1
 scikit-image>=0.14.0
 scipy>=1.1.0
-opencv-python <= 4.6.0
+opencv-python==4.6.0.66
 imageio==2.9.0
 imageio-ffmpeg
 librosa==0.8.1
-numba==0.53.1
+numba
 easydict
 munch
 natsort