pickle load no module named

jsonpickle builds upon the existing JSON encoders, such as simplejson, json, and ujson. Very strange that if I change the imports in all files, there is still a call to "models" which is wrong path . class Model(object): def __init__(self, weights, save_img=False): self.view_img = True, self.save_txt = False, self.imgsz = 640 self . ModuleNotFoundError: No module named 'xarray' reading a pickle file ... Python ModuleNotFoundError No module named sklearn No module named "" error when loading the pickle file ImportError: No module named 'PyQt5.QtWebEngineWidgets' @1chimaruGin Thanks, but if I run the detect.py without any changes in folders architecture it works, my need is to change the yolov5 folders architecture to fit a bigger project, so I need to change the imports to fit my architecture.. 2 - I saw a few examples where people downloading their model as a PKL file and loading and running it to get predictions. Pkl_Filename = "testPickle.pkl". The pickle module implements an algorithm for turning an arbitrary Python object into a series of bytes. No module named 'automl' when unpickle auto-trained model cloudpickle is especially useful for cluster computing where Python code is shipped over the network to execute on remote hosts, possibly close to the data. More details can be found in the joblib.dump() and joblib.load() documentation.. The pickle Module in Python - AskPython

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