def compute_chip(img_fpath, chip_fpath, roi, new_size, preproc_prefs):
# Read image
img = Image.open(img_fpath)
[img_w, img_h] = [gdim - 1 for gdim in img.size]
# Ensure ROI is within bounds
[roi_x, roi_y, roi_w, roi_h] = [max(0, cdim) for cdim in roi]
roi_x2 = min(img_w, roi_x + roi_w)
roi_y2 = min(img_h, roi_y + roi_h)
# Crop out ROI: left, upper, right, lower
raw_chip = img.crop((roi_x, roi_y, roi_x2, roi_y2))
# Scale chip, but do not rotate
pil_chip = raw_chip.convert('L').resize(new_size, Image.ANTIALIAS)
# Preprocessing based on preferences
if preproc_prefs.histeq_bit:
pil_chip = histeq(pil_chip)
if preproc_prefs.adapt_histeq_bit:
pil_chip = Image.fromarray(adapt_histeq(np.asarray(pil_chip)))
if preproc_prefs.contrast_stretch_bit:
pil_chip = Image.fromarray(contrast_stretch(np.asarray(pil_chip)))
if preproc_prefs.autocontrast_bit:
pil_chip = ImageOps.autocontrast(pil_chip)
if preproc_prefs.bilateral_filt_bit:
raise NotImplemented('Bilateral filter implementation removed.')
#pil_chip = shiftableBF(pil_chip)
# Save chip to disk
pil_chip.save(chip_fpath, 'PNG')
def preprocess_chip(am, pil_filt):
logdbg('prepocessing')
# Convert to grayscale
# raw_chip = cm.cx2_raw_chip(6)
# --- Resize ---
# --- Filters ---
#if am.algo_prefs.preproc.histeq_bit :
##pil_filt = ImageOps.equalize(pil_filt)
#img_rescale = exposure.equalize_hist(np.asarray(pil_filt))
#pil_filt = Image.fromarray(histeq(np.asarray(pil_filt))).convert('L')
if am.algo_prefs.preproc.histeq_bit:
from hotspotter.algo.imalgos import histeq
logdbg('Equalizing Histogram')
pil_filt = histeq(pil_filt)
if am.algo_prefs.preproc.adapt_histeq_bit:
from hotspotter.algo.imalgos import adapt_histeq
logdbg('Adaptive Equalizing Histogram')
pil_filt = Image.fromarray(adapt_histeq(np.asarray(pil_filt)))
if am.algo_prefs.preproc.contrast_stretch_bit:
from hotspotter.algo.imalgos import contrast_stretch
logdbg('Stretching Histogram')
pil_filt = Image.fromarray(contrast_stretch(np.asarray(pil_filt)))
if am.algo_prefs.preproc.autocontrast_bit :
logdbg('PIL Autocontrast')
pil_filt = ImageOps.autocontrast(pil_filt)
if am.algo_prefs.preproc.bilateral_filt_bit :
logdbg('O(1) Bilateral Filter Approximation')
from hotspotter.tpl.other.shiftableBF import shiftableBF
pil_filt = Image.fromarray(shiftableBF(np.asarray(pil_filt)))
return pil_filt
def preprocess_chip(am, pil_filt):
logdbg('prepocessing')
# Convert to grayscale
# raw_chip = cm.cx2_raw_chip(6)
# --- Resize ---
# --- Filters ---
#if am.algo_prefs.preproc.histeq_bit :
##pil_filt = ImageOps.equalize(pil_filt)
#img_rescale = exposure.equalize_hist(np.asarray(pil_filt))
#pil_filt = Image.fromarray(histeq(np.asarray(pil_filt))).convert('L')
if am.algo_prefs.preproc.histeq_bit:
from hotspotter.algo.imalgos import histeq
logdbg('Equalizing Histogram')
pil_filt = histeq(pil_filt)
if am.algo_prefs.preproc.adapt_histeq_bit:
from hotspotter.algo.imalgos import adapt_histeq
logdbg('Adaptive Equalizing Histogram')
pil_filt = Image.fromarray(adapt_histeq(np.asarray(pil_filt)))
if am.algo_prefs.preproc.contrast_stretch_bit:
from hotspotter.algo.imalgos import contrast_stretch
logdbg('Stretching Histogram')
pil_filt = Image.fromarray(contrast_stretch(np.asarray(pil_filt)))
if am.algo_prefs.preproc.autocontrast_bit:
logdbg('PIL Autocontrast')
pil_filt = ImageOps.autocontrast(pil_filt)
if am.algo_prefs.preproc.bilateral_filt_bit:
logdbg('O(1) Bilateral Filter Approximation')
from hotspotter.tpl.other.shiftableBF import shiftableBF
pil_filt = Image.fromarray(shiftableBF(np.asarray(pil_filt)))
return pil_filt
def compute_chip(img_fpath, chip_fpath, roi, new_size, preproc_prefs):
# Read image
img = Image.open(img_fpath)
[img_w, img_h] = [ gdim - 1 for gdim in img.size ]
# Ensure ROI is within bounds
[roi_x, roi_y, roi_w, roi_h] = [ max(0, cdim) for cdim in roi]
roi_x2 = min(img_w, roi_x + roi_w)
roi_y2 = min(img_h, roi_y + roi_h)
# Crop out ROI: left, upper, right, lower
raw_chip = img.crop((roi_x, roi_y, roi_x2, roi_y2))
# Scale chip, but do not rotate
pil_chip = raw_chip.convert('L').resize(new_size, Image.ANTIALIAS)
# Preprocessing based on preferences
if preproc_prefs.histeq_bit:
pil_chip = histeq(pil_chip)
if preproc_prefs.adapt_histeq_bit:
pil_chip = Image.fromarray(adapt_histeq(np.asarray(pil_chip)))
if preproc_prefs.contrast_stretch_bit:
pil_chip = Image.fromarray(contrast_stretch(np.asarray(pil_chip)))
if preproc_prefs.autocontrast_bit :
pil_chip = ImageOps.autocontrast(pil_chip)
if preproc_prefs.bilateral_filt_bit :
raise NotImplemented('Bilateral filter implementation removed.')
#pil_chip = shiftableBF(pil_chip)
# Save chip to disk
pil_chip.save(chip_fpath, 'PNG')
