Purpose:
What I am trying to do is have the model that I trained give me a yes or no / 0/1 or True/False if the model finds the images i trained on in the image i am giving as input.
Note:
I am 100% confident that the file exists at the location in the code that is specified…
CODE:
import time
import cv2
import mss
import numpy
from fastai.vision import *
from fastai import *
from pathlib import Path
from torchvision import transforms
from PIL import Image
import fastai
defaults.device = torch.device(‘cpu’)
img = open_image(r"C:\Users\Sylar\Pictures\2018-fade-to-silence-best-video-game-xg-2560x1440.jpg")
learn = load_learner(r"C:\Users\Sylar\Desktop\Product_11\export.pkl")
pred_class,pred_idx,outputs = learn.predict(img)
print(pred_class)
traceback:
Traceback (most recent call last):
File “fastai_predict_test1.py”, line 15, in
learn = load_learner(“C:/Users/Sylar/Desktop/Product_11/export.pkl”)
File “C:\Users\Sylar\Anaconda3\envs\evaper\lib\site-packages\fastai\basic_train.py”, line 469, in load_learner
state = torch.load(open(Path(path)/fname, ‘rb’))
FileNotFoundError: [Errno 2] No such file or directory: ‘C:\Users\Sylar\Desktop\Product_11\export.pkl\export.pkl’
Environment:
I am running Windows10 python 3.6.7, pytorch==1.0.0, cuda=10, cudnn was downloaded today 2/21/2019 and installed.
If anything else is needed, please ask and I will respond asap
Thank you,
Cody Quist