def find_edges_and_save():
total_ok = 0
total_notok = 0
all_images = mongo_driver.get_all_raw_images()
for raw_img in all_images:
try:
image_read = Image.open(raw_img)
# Detect edges
img_edge = image_processing.detect_edges(np.array(image_read))
# Save it to DB
mongo_driver.save_edges(np.array(img_edge).tolist(), raw_img.filename, raw_img.category, raw_img._id)
total_ok += 1
except Exception as e:
print(e)
total_notok += 1
continue
print("Total edges saved : {}".format(total_ok))
print("Total errors : {}".format(total_notok))
def test_edges():
"""
Function to experiment with the edge detection
Load one image, detect edges and display it alongside the original image
This function is not part of the main application
:return:
"""
raw_img = mongo_driver.load_one_and_show(8)
try:
image_read = Image.open(raw_img)
#Detect edges
img_edge = image_processing.detect_edges(np.array(image_read), True)
# display results
fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(5, 3))
ax1.set_axis_off()
ax1.imshow(img_edge, cmap=plt.cm.gray, interpolation='nearest')
ax2.imshow(image_read, interpolation='nearest')
plt.axis('off')
plt.show()
except Exception as e:
print(e)
