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readandplotsame.py
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readandplotsame.py
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import argparse
import numpy as np
import os
import matplotlib.pyplot as plt
def main():
parser = argparse.ArgumentParser()
parser.add_argument('model_audio', type=str)
parser.add_argument('TUT', help='init_checkpoint', type=int)
parser.add_argument('--init_checkpoint', help='init_checkpoint',
nargs='*', type=str)
parsed_args = parser.parse_args()
model_audio = parsed_args.model_audio
init_checkpoint = parsed_args.init_checkpoint
TUT = parsed_args.TUT
num = [1, 3, 4, 5]
num = np.array(num)
thisdict = {
'random': 0,
'0': 1,
'2': 2,
'4': 3,
'6': 4,
'9': 5,
'14': 6,
'19': 7
}
if TUT:
thisdict = {
'random': 0,
'9': 1,
'19': 2
}
dict2 = {
'Average': 0,
'Rank1': 1,
'Rank2': 2,
'Rank5': 3,
'Rank10': 4,
'Rank30': 5
}
datasetTesting = 'testing'
names = ['random', '1', '3', '5', '7', '10', '15', '20']
if TUT:
names = ['random', '10', '20']
name2 = ['Classification acc', 'Rank1', 'Rank2', 'Rank5', 'Rank10', 'Rank30']
floatnum = ['', '0.1', '0.3', '0.5', '0.7', '0.9']
accuracies = np.zeros((len(init_checkpoint), len(name2), len(names)))
dev = np.zeros((len(init_checkpoint), len(name2), len(names)))
for a in range(len(init_checkpoint)):
nameTest_audio = '{}_{}'.format(model_audio, datasetTesting)
if TUT:
nameTest_audio = 'TUT/' + nameTest_audio
string = str.join('/', init_checkpoint[a].split('/')[:-1] + [nameTest_audio])
if os.path.isfile('{}/acc{}_{}.txt'.format(str.join('/', string.split('/')[:-1]), model_audio, datasetTesting)):
file = open('{}/acc{}_{}.txt'.format(str.join('/', string.split('/')[:-1]), model_audio, datasetTesting), 'r')
lines = file.readline()
while lines:
lines = lines.split(' ')
epochs = lines[0]
vec = lines[1]
mean = lines[3]
std = lines[6].split('\n')[0]
accuracies[a][dict2[vec]][thisdict[epochs]] = np.float(mean)
dev[a][dict2[vec]][thisdict[epochs]] = np.float(std)
print('{} {} {} {}'.format(vec, epochs, mean, std))
lines = file.readline()
file.close()
#fig1 = plt.figure()
#fig1.suptitle('{}'.format(name2[0]), fontsize=24)
for a in range(len(init_checkpoint)):
plt.errorbar(names, accuracies[a, 0, :], dev[a, 0, :], marker='o', label='{} {} {}'.format(name2[0], model_audio, floatnum[a]))
plt.xlabel('epochs', fontsize=18)
plt.ylabel('accuracy', fontsize=16)
plt.legend()
plt.show()
for i in num:
#fig = plt.figure()
#fig.suptitle('{}'.format(name2[i]), fontsize=24)
for a in range(len(init_checkpoint)):
plt.errorbar(names, accuracies[a, i, :], dev[a, i, :], marker='o', label='{} {} {}'.format(name2[i], model_audio, floatnum[a]))
# plt.errorbar(names, accuracies2[i, :], dev2[i, :], marker='o', label='{} {}'.format(name2[i], 'ResNet18 DualCamHybridNet 128 vector'))
legend = plt.legend(loc=4, prop={'size': 18})
plt.xlabel('epochs', fontsize=18)
plt.ylabel('accuracy', fontsize=16)
plt.legend()
plt.show()
if __name__ == '__main__':
main()
# HearNet
# --init_checkpoint
# /data/vsanguineti/checkpoints2/embeddingTransferTriplet0.1_5/model_100.ckpt
# /data/vsanguineti/checkpoints2/embeddingTransferTriplet0.3_5/model_100.ckpt
# /data/vsanguineti/checkpoints2/embeddingTransferTriplet0.5_5/model_100.ckpt
# /data/vsanguineti/checkpoints2/embeddingTransferTriplet0.7_5/model_100.ckpt
# /data/vsanguineti/checkpoints2/embeddingTransferTriplet0.9_5/model_100.ckpt
# /data/vsanguineti/checkpoints2/embeddingAudioScalar2MapFarDifferentDot0.00001vers2_5/model_100.ckpt
#
# DualCamHybridNet
# --init_checkpoint
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Acoustic6402triplet2_2_1/model_100.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Acoustic6402triplet_2_1/model_100.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Acoustic64023_2_1/model_100.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Acoustic64022_2_1/model_100.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Acoustic6402_2_1/model_100.ckpt
# For resnet
# ResNet18_v1
# --init_checkpoint
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Audio64023_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Acoustic64023_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.1_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.3_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.5_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.7_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.9_1/model_1.ckpt
# --TUT
# 0
# 0
# 0
# 0
# 0
# 0
# 0
# HearNet
# --init_checkpoint
# /media/vsanguineti/TOSHIBAEXT/checkpoints/Audio64023_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.1_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.3_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.5_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.7_1/model_1.ckpt
# /media/vsanguineti/TOSHIBAEXT/checkpoints/embeddingTransferTriplet20_0.9_1/model_1.ckpt
# --TUT
# 1
# 1
# 1
# 1
# 1
#1