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test_nn.py
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test_nn.py
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from NeuralNetwork import prediction
import os
def test_all():
material = 'glass'
dir = "./resources/trash_dataset/test/" + material
for i in range(0, 56, 5):
count = 0
full_count = 0
for file in os.listdir(dir):
full_count += 1
path = os.path.join(dir, file)
# print(path)
result = prediction.getPrediction(path, 'trained_nn_'+str(i)+'.pth')
if result == material:
count += 1
print('siec ' + str(i) + ': ' + str(count) + '/' + str(full_count))
def test_one():
network = 20
material = 'paper'
dir = "./resources/trash_dataset/test/" + material
count = 0
full_count = 0
for file in os.listdir(dir):
full_count += 1
path = os.path.join(dir, file)
result = prediction.getPrediction(path, 'trained_nn_'+str(network)+'.pth')
if result == material:
count += 1
else:
print(path)
print('siec ' + str(network) + ': ' + str(count) + '/' + str(full_count))
def main():
test_one()
if __name__ == '__main__':
main()