def build_dataset(imgFiles):
cfgFront = '/home/udit/d2-net/lib/ipm/cameraFront.json'
cfgRear = '/home/udit/d2-net/lib/ipm/cameraRear.json'
for i in range(len(imgFiles[0][:])):
front_top = ipm(imgFiles[0][i], cfgFront)
rear_top = ipm(imgFiles[1][i], cfgRear)
front_top = Image.fromarray(front_top).convert('LA').convert('RGB')
rear_top = Image.fromarray(rear_top).convert('LA').convert('RGB')
front_top.save('/scratch/udit/robotcar/overcast/ipm/front/' + str(i) + '.png')
rear_top.save('/scratch/udit/robotcar/overcast/ipm/rear/' + str(i) + '.png')
print(i)
def ipm_select(img_dir, out_dir, distance_file, num, dataset_map, exclude):
data = pd.read_csv(distance_file)
img_ids = data.iloc[:, 0]
rows, cols = data.shape
if type(data.iloc[0, cols - 1]) == str:
# remove last column, if it is a string column
distances = np.array(data.iloc[:, 1:cols - 1])
else:
distances = np.array(data.iloc[:, 1:])
if exclude is None:
selected_data = None
else:
selected_idxs = get_excluded_idxs(img_ids, exclude)
selected_data = list(distances[selected_idxs])
idxs = ipm(list(distances), n=num, selected_data=selected_data)
if dataset_map is not None:
id_map = load_dataset_map(dataset_map)
for idx in idxs:
img_id = img_ids[idx].split('.')[0]
if dataset_map is not None:
img_id = id_map[img_id]
label, img = img_id.split('_')
src = os.path.join(img_dir, label, '{}.png'.format(img))
dest = os.path.join(out_dir, '{}.png'.format(img_id))
shutil.copy2(src, dest)
{
PM_RAISE(retval, PM_RET_EX_TYPE);
return retval;
}
/* If arg is not an int, raise TypeError */
pn = NATIVE_GET_LOCAL(0);
if (OBJ_GET_TYPE(pn) != OBJ_TYPE_INT)
{
PM_RAISE(retval, PM_RET_EX_TYPE);
return retval;
}
/* Get int value from the arg */
n = ((pPmInt_t)pn)->val;
/* Clear all and set the desired LEDs (active low) */
AT91F_PIO_SetOutput(AT91C_BASE_PIOA, LED_MASK);
AT91F_PIO_ClearOutput(AT91C_BASE_PIOA, n);
NATIVE_SET_TOS(PM_NONE);
return PM_RET_OK;
"""
pass
import ipm
ipm.ipm(globals())
# :mode=c:
# # PyMite - A flyweight Python interpreter for 8-bit and larger microcontrollers. # Copyright 2002 Dean Hall. All rights reserved. # PyMite is offered through one of two licenses: commercial or open-source. # See the LICENSE file at the root of this package for licensing details. # # # Runs the interactive interpreter # print "Hello" import ipm ipm.ipm(globals()) print "Good-bye"
# This file is Copyright 2007, 2009 Dean Hall. # # This file is part of the Python-on-a-Chip program. # Python-on-a-Chip is free software: you can redistribute it and/or modify # it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE Version 2.1. # # Python-on-a-Chip is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # A copy of the GNU LESSER GENERAL PUBLIC LICENSE Version 2.1 # is seen in the file COPYING up one directory from this. ## @file # @brief PIC24/dsPIC33 main code to run ipm. # import ipm print "Welcome to PIC24/dsPIC33 Python! Starting interactive mode." ipm.ipm()
# This file is Copyright 2007 Dean Hall. # # This file is part of the Python-on-a-Chip program. # Python-on-a-Chip is free software: you can redistribute it and/or modify # it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE Version 2.1. # # Python-on-a-Chip is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. # A copy of the GNU LESSER GENERAL PUBLIC LICENSE Version 2.1 # is seen in the file COPYING up one directory from this. ## @file # @brief PIC24/dsPIC33 main code to run ipm. # from ipm import ipm print "Welcome to PIC24/dsPIC33 Python! Starting interactive mode." ipm()
# # PyMite - A flyweight Python interpreter for 8-bit and larger microcontrollers. # Copyright 2002 Dean Hall. All rights reserved. # PyMite is offered through one of two licenses: commercial or open-source. # See the LICENSE file at the root of this package for licensing details. # #import sys #import maple import ipm ipm.ipm() #maple.init_gpio() #maple.toggle_led()
print sys.time(); # will return zero... not implemented yet X-D
#sys.wait(150); ## waiting 150ms ... looping :-<
#print sys.time();
print "=== check: string module-atoi";
print string.atoi("-123");
print string.atoi(" -123",8);
print string.atoi("-123",16);
##print string.atoi("-123 "); ## error trailing junk chars.
print "=== check: string module-find";
print string.find("-123",'-');
print string.find("-123",'3');
print string.find("-123",'a');
print string.find("-123",'');
print "=== check: string module-count";
print string.count("abc-123+xyzab",'a');
print string.count("abc-123+xyzab",'b');
print string.count("abc-123+xyzab",' ');
print string.count("abc-123+xyzab",'123');
print string.count("abc-123+xyzab",'+123');
print "=== check: ipm module-ipm()";
ipm.ipm();
sys.exit();
# :mode=c:
def launch_ipm():
"""
"""
print "launching ipm"
ipm.ipm()
from ipm import ipm
import numpy as np
from sklearn.datasets import fetch_openml
import matplotlib.pyplot as plt
if __name__ == '__main__':
# load data
X, y = fetch_openml('mnist_784', version=1, cache=True, return_X_y=True)
X = X / 255.
# select a random subset of data (for faster execution)
# idx = np.random.permutation(range(len(y)))[:10000]
# X = X[idx]
# y = y[idx]
# select samples using ipm
selected_idx = ipm(list(X), n=10)
# plot selected samples
plt.figure()
for i in range(10):
plt.subplot(2, 5, i + 1)
plt.axis('off')
image = X[selected_idx[i]].reshape(28, 28)
plt.imshow(image, cmap=plt.cm.gray_r)
plt.title('Label: ' + y[selected_idx[i]])
plt.show()
