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import os
import numpy as np
import subprocess
# def ratio(losses, thresholds=[1,2,3,4,5,6,7,8,9,10]):
def ratio(losses, thresholds=[5,10]):
return [
'{:.3f}'.format(np.mean(losses < threshold))
for threshold in thresholds
]
if __name__ == '__main__':
scene = 'Indoor'
dir_base = 'result_errors/Indoor/'
save_pt = 'resultfinal_errors/Indoor/'
subprocess.check_output(['mkdir', '-p', save_pt])
with open(save_pt +'ratio_methods_'+scene+'.txt','w') as f:
f.write('5deg 10deg'+'\n')
pair_list = os.listdir(dir_base)
enhancer = os.listdir(dir_base+'/pair9/')
for method in enhancer:
pose_error_list = sorted(os.listdir(dir_base+'/pair9/'+method))
for pose_error in pose_error_list:
error_array = np.expand_dims(np.zeros((6, 8)),axis=2)
for pair in pair_list:
try:
error = np.expand_dims(np.load(dir_base+'/'+pair+'/'+method+'/'+pose_error),axis=2)
except:
print('error in', dir_base+'/'+pair+'/'+method+'/'+pose_error)
continue
error_array = np.concatenate((error_array,error),axis=2)
ratio_result = ratio(error_array[:,:,1::].flatten())
f.write(method + '_' + pose_error[11:-4] +' '+' '.join([str(i) for i in ratio_result])+"\n")
scene = 'Outdoor'
dir_base = 'result_errors/Outdoor/'
save_pt = 'resultfinal_errors/Outdoor/'
subprocess.check_output(['mkdir', '-p', save_pt])
with open(save_pt +'ratio_methods_'+scene+'.txt','w') as f:
f.write('5deg 10deg'+'\n')
pair_list = os.listdir(dir_base)
enhancer = os.listdir(dir_base+'/pair9/')
for method in enhancer:
pose_error_list = sorted(os.listdir(dir_base+'/pair9/'+method))
for pose_error in pose_error_list:
error_array = np.expand_dims(np.zeros((6, 8)),axis=2)
for pair in pair_list:
error = np.expand_dims(np.load(dir_base+'/'+pair+'/'+method+'/'+pose_error),axis=2)
error_array = np.concatenate((error_array,error),axis=2)
ratio_result = ratio(error_array[:,:,1::].flatten())
f.write(method + '_' + pose_error[11:-4] +' '+' '.join([str(i) for i in ratio_result])+"\n")
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