def coloured_image_from_raw(self,raw_values, image_scalar):
STORED_IMAGE_NAME = "DetectionImage1.jpg"
lepton_object = Lepton_interface()
# Convert raw data to 8 bit image - takes 0.0008s
bit8_image = lepton_object.raw_to_8bit(raw_values)
bit8_image = bit8_image.astype(uint8)
# Remove non-needed dimension
bit8_image = bit8_image.squeeze()
# Colour image takes ~0.005
coloured_image = self.colour_thermal_image(bit8_image)
# Scale 8 bit coloured image # CV_INTER_CUBIC might be used - slow but looks better. INTER_NEAREST.
# INTER_LINEAR takes ~0.025s INTER_CUBIC - ~0.07s. Nearest - 0.01s
coloured_image = cv2.resize(coloured_image, (0,0), None, image_scalar, image_scalar, cv2.INTER_LINEAR)
# Takes ~0.2s, updated one takes ~0.0001s
# cv2.imwrite(STORED_IMAGE_NAME, np.uint8(coloured_image)) # Write the image to file
mat_array = cv.fromarray(coloured_image)
# Take the image from file as SIMPLECV image. Updated one ~0.005s
simplecv_img = Image(mat_array)
# simplecv_img = Image(STORED_IMAGE_NAME)
return simplecv_img
def coloured_image_from_raw(self, raw_values, image_scalar):
STORED_IMAGE_NAME = "DetectionImage1.jpg"
lepton_object = Lepton_interface()
# Convert raw data to 8 bit image - takes 0.0008s
bit8_image = lepton_object.raw_to_8bit(raw_values)
bit8_image = bit8_image.astype(uint8)
# Remove non-needed dimension
bit8_image = bit8_image.squeeze()
# Colour image takes ~0.005
coloured_image = self.colour_thermal_image(bit8_image)
# Scale 8 bit coloured image # CV_INTER_CUBIC might be used - slow but looks better. INTER_NEAREST.
# INTER_LINEAR takes ~0.025s INTER_CUBIC - ~0.07s. Nearest - 0.01s
coloured_image = cv2.resize(coloured_image, (0, 0), None, image_scalar,
image_scalar, cv2.INTER_LINEAR)
# Takes ~0.2s, updated one takes ~0.0001s
# cv2.imwrite(STORED_IMAGE_NAME, np.uint8(coloured_image)) # Write the image to file
mat_array = cv.fromarray(coloured_image)
# Take the image from file as SIMPLECV image. Updated one ~0.005s
simplecv_img = Image(mat_array)
# simplecv_img = Image(STORED_IMAGE_NAME)
return simplecv_img
