def extract_detector_negatives(hs, output_dir, batch_extract_kwargs):
from itertools import product as iprod
negreg_dir = join(output_dir, 'negatives', 'regions')
negall_dir = join(output_dir, 'negatives', 'whole')
negreg_fmt = join(negreg_dir, 'gx%d_wix%d_hix%d_neg.png')
negall_fmt = join(negall_dir, 'gx%d_all_neg.png')
helpers.ensuredir(negall_dir)
helpers.ensuredir(negreg_dir)
print('[train] extract_negatives')
gx_list = hs.get_valid_gxs()
nChips_list = np.array(hs.gx2_nChips(gx_list))
aif_list = np.array(hs.gx2_aif(gx_list))
# Find images where there are completely negative. They have no animals.
#is_negative = np.logical_and(aif_list, nChips_list)
is_completely_negative = np.logical_and(aif_list, nChips_list == 0)
negall_gxs = gx_list[np.where(is_completely_negative)[0]]
gfpath_list = []
cfpath_list = []
roi_list = []
def add_neg_eg(roi, gfpath, cfpath):
roi_list.append(roi)
gfpath_list.append(gfpath)
cfpath_list.append(cfpath)
width_split = 2
(uw, uh) = batch_extract_kwargs['uniform_size']
for gx in negall_gxs:
gfpath = hs.gx2_gname(gx, full=True)
# Add whole negative image
(gw, gh) = hs.gx2_image_size(gx)
roi = (0, 0, gw, gh)
add_neg_eg(roi, gfpath, negall_fmt % (gx))
# Add negative regions
w_step = gw // width_split
h_step = int(round(gh * (w_step / gw)))
nHeights, nWidths = gh // h_step, gw // w_step
if nWidths < 2 or nHeights < 1:
continue
for wix, hix in iprod(xrange(nWidths), xrange(nHeights)):
x, y = wix * w_step, hix * h_step
w, h = w_step, h_step
roi = (x, y, w, h)
add_neg_eg(roi, gfpath, negreg_fmt % (gx, wix, hix))
theta_list = [0] * len(roi_list)
cc2.batch_extract_chips(gfpath_list, cfpath_list, roi_list, theta_list,
**batch_extract_kwargs)
def extract_detector_positives(hs, output_dir, batch_extract_kwargs):
print('[train] extract_positives')
cx_list = hs.get_valid_cxs()
gx_list = hs.tables.cx2_gx[cx_list]
cid_list = hs.tables.cx2_cid[cx_list]
theta_list = hs.tables.cx2_theta[cx_list]
roi_list = hs.tables.cx2_roi[cx_list]
gfpath_list = hs.gx2_gname(gx_list, full=True)
posoutput_dir = join(output_dir, 'positives')
helpers.ensuredir(posoutput_dir)
pos_fmt = join(posoutput_dir, 'cid%d_gx%d_pos.png')
cfpath_list = [pos_fmt % (cid, gx) for (cid, gx) in zip(cid_list, gx_list)]
cc2.batch_extract_chips(gfpath_list, cfpath_list, roi_list, theta_list,
**batch_extract_kwargs)