initMNN.expr: PyType_Ready PyMNNVarType failed

[Klawens]

An error occurred when running an mnn model inference demo below:

import numpy as np
import MNN
import cv2
import time
class Pose():
    def __init__(self, model_path, joint_num=17, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]):
        self.model_path = model_path
        self.joint_num = joint_num
        self.mean = np.array(mean).reshape(1, -1, 1, 1)
        selaf.std = np.array(std).reshape(1, -1, 1, 1)
        self.interpreter = MNN.Interpreter.createSession({ 'numThread': 1})

    def preprocess(self, img):
        input_shape = img.shape
        assert len(input_shape) == 4, 'expect shape like (1, H, W, C)'
        img = (np.transpose(img, (0, 3, 1, 2)) / 255. -self.mean) / self.std
        return img.astype(np.float32)

    def inference(self, img):
        input_shape = img.shape
        assert len(input_shape) == 4, 'expect shape like (1, C, H, W)'

        input_tensor = self.interpreter.getSessionInput(self.model_sess)

        tmp_input = MNN.Tensor(
                input_shape,
                MNN.Halide_Type_Float,
                img.astype(np.float32),
                MNN.Tensor_DimensionType_Caffe)
        input_tensor.copyFrom(tmp_input)

        self.interpreter.runSession(self.model_sess)
        output_tensor = self.interpreter.getSessionOutputAll(self.model_sess)

        joint_coord = np.array(output_tensor['1022'].getData())

        return joint_coord

    def post_process(self, coords, bbox):
        w = bbox[2] - bbox[0]
        h = bbox[3] - bbox[1]
        target_coords = coords * np.array([w, h])
        target_coords += np.array([bbox[0], bbox[1]])

        return target_coords

    def predict(self, img):
        img = self.preprocess(img)
        # print(img.shape)
        joint_coord = self.inference(img)
        # joint_coord = self.post_process(joint_coord)
        return joint_coord
img = cv2.imread('test.jpg')
img = cv2.resize(img, (256, 256))
inputs = img[None,:]
mnn_model = Pose('tmp-sim.mnn')
for x in range(5):
    s = time.time()
    for i in range(100):
        mnn_model.predict(inputs)
    print(f'elapse {(time.time() - s)*10:.4f} ms')

Log:

Traceback (most recent call last):
  File "MNN_inference.py", line 2, in <module>
    import MNN
  File "/home/lsc/anaconda3/envs/mmpose/lib/python3.8/site-packages/MNN/__init__.py", line 4, in <module>
    from _mnncengine import *
Exception: initMNN.expr: PyType_Ready PyMNNVarType failed

[yyfcc17]

version？updated？

[Klawens]

version？updated？

2.0.0, latest version

[yyfcc17]

cannot reproduce with Python 3.8.13, change python version may solve this problem

[Klawens]

cannot reproduce with Python 3.8.13, change python version may solve this problem

It's weird, my 3.8.13 doesn't work but 3.7 works fine

[Vincent630]

that not the wirdest situation,i got two virtual environment ,which both used python3.8.13,but one of the environment report this error that exactly same with yours,but the other environment run script with mnn sucessully.

[bobo0810]

The same problem occurs in Python 3.8.8

[Klawens]

that not the wirdest situation,i got two virtual environment ,which both used python3.8.13,but one of the environment report this error that exactly same with yours,but the other environment run script with mnn sucessully.

same

[Li-Lai]

The same problem occurs in Python 3.8.3.

[Loovelj]

The same problem occurs in Python 3.8.5

[wangzhaode]

@Loovelj @Li-Lai @Klawens @bobo0810 请问你们Linux还是Mac？

[bobo0810]

@Loovelj @Li-Lai @Klawens @bobo0810 请问你们Linux还是Mac？

linux

[Klawens]

@Loovelj @Li-Lai @Klawens @bobo0810 请问你们Linux还是Mac？

Linux, ubuntu 18.04

[www516717402]

Also get this error in py3.9.12+MNN2.0.0

[Lebhoryi]

The same problem occurs in Python 3.8.10.
MNN install by xxx.whl

[wangzhaode]

导致这个问题的原因是numpy版本不正确导致无法初始化，可以卸载并重新安装numpy来解决；
该问题会在下次发布是修复；