fix py38 issue

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12660340

modelscope/models/cv/object_detection_3d/depe/result_vis.py

@@ -169,7 +169,7 @@ def plot_result(res_path,
                 check_point_in_img(corners_img, img.shape[0], img.shape[1]))
             valid = valid.reshape(
                 -1, 8)  # valid means: d>0 and visible in current view
-            corners_img = corners_img.reshape(-1, 8, 2).astype(np.int)
+            corners_img = corners_img.reshape(-1, 8, 2).astype(int)
             for aid in range(valid.shape[0]):
                 if scores[aid] < vis_thred and pred_flag[aid]:
                     continue

modelscope/pipelines/cv/image_detection_pipeline.py

@@ -30,7 +30,7 @@ class ImageDetectionPipeline(Pipeline):
     def preprocess(self, input: Input) -> Dict[str, Any]:
 
         img = LoadImage.convert_to_ndarray(input)
-        img = img.astype(np.float)
+        img = img.astype(np.float64)
         img = self.model.preprocess(img)
         result = {'img': img}
         return result

modelscope/pipelines/cv/referring_video_object_segmentation_pipeline.py

@@ -225,7 +225,7 @@ class ReferringVideoObjectSegmentationPipeline(Pipeline):
 def apply_mask(image, mask, color, transparency=0.7):
     mask = mask[..., np.newaxis].repeat(repeats=3, axis=2)
     mask = mask * transparency
-    color_matrix = np.ones(image.shape, dtype=np.float) * color
+    color_matrix = np.ones(image.shape, dtype=np.float64) * color
     out_image = color_matrix * mask + image * (1.0 - mask)
     return out_image
 

requirements/audio/audio_signal.txt

@@ -1,5 +1,5 @@
 hyperpyyaml
-librosa<=0.9.2
+librosa==0.9.2
 MinDAEC
 mir_eval>=0.7
 numpy

requirements/audio/audio_tts.txt

@@ -3,7 +3,7 @@ greenlet>=1.1.2
 inflect
 jedi>=0.18.1
 kantts
-librosa<=0.9.2
+librosa==0.9.2
 lxml
 matplotlib
 msgpack>=1.0.4

requirements/cv.txt

@@ -6,7 +6,7 @@ chumpy
 clip>=1.0
 control_ldm
 ddpm_guided_diffusion
-diffusers
+diffusers>=0.13.1,<0.15.0
 easydict
 easyrobust
 edit_distance

requirements/framework.txt

@@ -4,7 +4,8 @@ datasets>=2.7.0,<=2.8.0
 einops
 filelock>=3.3.0
 gast>=0.2.2
-numpy<1.24.0
+# for python3.7 python3.8 compatible
+numpy<1.22.0
 oss2
 # for datasets compatible
 pandas<=1.5.3

requirements/multi-modal.txt

@@ -1,7 +1,7 @@
 accelerate
 diffusers>=0.13.1,<0.15.0
 ftfy>=6.0.3
-librosa<=0.9.2
+librosa==0.9.2
 opencv-python
 pycocoevalcap>=1.2
 pycocotools>=2.0.4

tests/run_config.yaml

@@ -87,3 +87,9 @@ envs:
       - test_image_style_transfer.py
       - test_image_portrait_stylization_trainer.py
       - test_language_identification.py
+      - test_ocr_detection_db_trainer.py
+      - test_nerf_recon_acc.py
+      - test_tensorboard_hook.py
+      - test_efficient_diffusion_tuning_trainer.py
+      - test_trainer.py
+      - test_nerf_recon_acc_trainer.py