diff --git a/.idea/misc.xml b/.idea/misc.xml index 715ed69..8eab719 100644 --- a/.idea/misc.xml +++ b/.idea/misc.xml @@ -3,5 +3,5 @@ - + \ No newline at end of file diff --git a/.idea/shelf/Uncommitted_changes_before_Update_at_6_8_2020_1_30_PM_[Default_Changelist]/shelved.patch b/.idea/shelf/Uncommitted_changes_before_Update_at_6_8_2020_1_30_PM_[Default_Changelist]/shelved.patch new file mode 100644 index 0000000..21be4b0 --- /dev/null +++ b/.idea/shelf/Uncommitted_changes_before_Update_at_6_8_2020_1_30_PM_[Default_Changelist]/shelved.patch @@ -0,0 +1,24 @@ +Index: .idea/workspace.xml +IDEA additional info: +Subsystem: com.intellij.openapi.diff.impl.patch.BaseRevisionTextPatchEP +<+>\r\n\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n 1589206421672\r\n \r\n \r\n 1589815443652\r\n \r\n \r\n 1589816028640\r\n \r\n \r\n 1589822196451\r\n \r\n \r\n 1589918562733\r\n \r\n \r\n 1589952733192\r\n \r\n \r\n 1589952979012\r\n \r\n \r\n 1589955873104\r\n \r\n \r\n 1589964526485\r\n \r\n \r\n 1589967955430\r\n \r\n \r\n 1589972251988\r\n \r\n \r\n 1590359074952\r\n \r\n \r\n 1590447313737\r\n \r\n \r\n 1590538529471\r\n \r\n \r\n 1590846768877\r\n \r\n \r\n 1590938465634\r\n \r\n \r\n 1590963692385\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n +Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP +<+>UTF-8 +=================================================================== +--- .idea/workspace.xml (revision 927b8fe54122327a3482d3e6a9b45e268e53df6e) ++++ .idea/workspace.xml (date 1591615797329) +@@ -257,11 +257,11 @@ + + + +- +- + +- + ++ ++ ++ + + + diff --git a/.idea/wozek.iml b/.idea/wozek.iml index a9742fc..004f809 100644 --- a/.idea/wozek.iml +++ b/.idea/wozek.iml @@ -4,10 +4,7 @@ - + - - \ No newline at end of file diff --git a/coder/model.py b/coder/model.py index 45772d6..31c0827 100644 --- a/coder/model.py +++ b/coder/model.py @@ -1,21 +1,9 @@ -import numpy as np import torch -import torchvision -import matplotlib.pyplot as plt -from time import time -from torchvision import datasets, transforms -from torch import nn, optim import torch.nn.functional as F - -import cv2 - from nn_model import Net +from torch import nn, optim +from torchvision import datasets, transforms -''' -Q: -what is batch? - -''' n_epochs = 3 batch_size_train = 64 batch_size_test = 1000 diff --git a/coder/nn_model.py b/coder/nn_model.py index d9791f8..acaa1ab 100644 --- a/coder/nn_model.py +++ b/coder/nn_model.py @@ -1,6 +1,5 @@ import torch.nn as nn import torch.nn.functional as F -import torch.optim as optim class Net(nn.Module): diff --git a/coder/rocognizer.py b/coder/rocognizer.py index 469dd16..3e84c24 100644 --- a/coder/rocognizer.py +++ b/coder/rocognizer.py @@ -1,13 +1,7 @@ import cv2 -import matplotlib.pyplot as plt import torch -from PIL.Image import Image -from torch import nn -from torchvision.transforms import transforms -from torch.autograd import Variable -import numpy as np - from nn_model import Net +from torchvision.transforms import transforms def recognizer(a_path): @@ -30,9 +24,6 @@ def recognizer(a_path): rects = [cv2.boundingRect(ctr) for ctr in ctrs] # load nn model - input_size = 784 # = 28*28 - hidden_sizes = [128, 128, 64] - output_size = 10 model = Net() model.load_state_dict(torch.load('model.pt')) model.eval() @@ -60,4 +51,4 @@ def recognizer(a_path): recognizer("55555.jpg") -# print(recognizer("55555.jpg")) +