def cropImage(fileName, index, count, dim, loc = (0,0)): with Image.open(fileName) as img: x = (index % count) * dim[0] y = (index // count) * dim[1] part = offset(img, -x, -y).crop((0,0,dim[0],dim[1])) whole_img = Image.new("RGBA", (16,32), (0,0,0,0)) whole_img.paste(part, loc, part) return whole_img
def cropImage(fileName, index, count, dim, loc = (0,0)): with Image.open(fileName) as img: x = (index % count) * dim[0] y = (index // count) * dim[1] part = offset(img, -x, -y).crop((0,0,dim[0],dim[1])) whole_img = Image.new("RGBA", (16,32), (0,0,0,0)) whole_img.paste(part, loc, part) return whole_img
def set_photo(self): # Sort out the image tn = self.images[self.img_index[self.label_index][1]].copy() # Offset the image tn = offset(tn, self.global_x_offset, self.global_y_offset) draw = ImageDraw.Draw(tn, 'RGBA') draw.rectangle(self.square, (255, 0, 0, 125)) del draw tn.thumbnail((self.bounding_dimension, self.bounding_dimension), Image.ANTIALIAS) self.photo = ImageTk.PhotoImage(tn)
def cropImg(img, location, defaultSize=(16, 16), objectSize=(16, 16), resize=False, displacement=(0, 0)): row = int(img.width / (defaultSize[0])) x = (location % row) * defaultSize[0] y = (location // row) * defaultSize[1] image = offset(img, -x, -y).crop((0, 0, objectSize[0], objectSize[1])) if resize: base = Image.new("RGBA", (16, 32), (0, 0, 0, 0)) base.paste(image, displacement, image) image = base return image
def cropImg(img, location, defaultSize=(16, 16), objectSize=(16, 16), resize=False, displacement=(0, 0)): row = int(img.width / (defaultSize[0])) x = (location % row) * defaultSize[0] y = (location // row) * defaultSize[1] image = offset(img, -x, -y).crop((0, 0, objectSize[0], objectSize[1])) if resize: base = Image.new("RGBA", (16, 32), (0, 0, 0, 0)) base.paste(image, displacement, image) image = base return image
def apply_calibration(self): """Apply calibration to all images.""" # create calibrated dir if not os.path.exists(self.calibrated_folder): os.makedirs(self.calibrated_folder) for j in glob.glob(os.path.join(self.region_folder, "*.jpg")): filename = os.path.basename(j) time = filename.split("_") for t in time: if t.endswith(".jpg"): time = t.strip(".jpg") break if time in self.calibration: img = Image.open(j) img = offset(img, self.calibration[time][0], self.calibration[time][1]) img.save(os.path.join(self.calibrated_folder, filename), "jpeg")
def cropImg(img, location, defaultSize=(4, 4), objectSize=(4, 4)): row = int(img.width / (4*defaultSize[0])) x = (location % row) * 4 * defaultSize[0] y = (location // row) * 4 * defaultSize[1] return offset(img, -x, -y).crop((0, 0, 4*objectSize[0], 4*objectSize[1]))
def cropImg(img, location, size, tileSize): y = (location // size[0]) * tileSize[1] x = (location % size[0]) * tileSize[0] return offset(img, -x, -y).crop((0, 0, tileSize[0], tileSize[1]))
def cropImg(img, location, size, tileSize): y = (location//size[0]) * tileSize[1] x = (location % size[0]) * tileSize[0] return offset(img, -x, -y).crop((0, 0, tileSize[0], tileSize[1]))
def cropImg(img, location, defaultSize=(4, 4), objectSize=(4, 4)): row = int(img.width / (4 * defaultSize[0])) x = (location % row) * 4 * defaultSize[0] y = (location // row) * 4 * defaultSize[1] return offset(img, -x, -y).crop( (0, 0, 4 * objectSize[0], 4 * objectSize[1]))
for i in range(9): j = (i + 9) % 18 x_angle = angles[i] y_angle = angles[j] c = cos(x_angle) s = sin(x_angle) d = box_width / 2. d /= meters d = 0 # DELETEME dx = int(round(c*d)) dy = int(round(s*d)) fxp = (offset(Image.fromarray(responses[i]), dx, dy)) fxm = (offset(Image.fromarray(responses[i]), -dx, -dy)) fyp = (offset(Image.fromarray(responses[j]), -dy, dx)) fym = (offset(Image.fromarray(responses[j]), dy, -dx)) score = np.sort(np.stack([fxp, fxm, fyp, fym]), axis=0)[3] scores.append(score) subplot(121) imshow(np.max(scores, axis=0)) gray() colorbar() subplot(122) imshow(a) colorbar() show()