# Copyright 2021 Paweł Anikiel, Kacper Kluk. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

import tensorflow as tf
import cv2


def read_img(path, size):
    img = tf.image.decode_image(open(path, "rb").read(), channels=3)
    pixels = cv2.cvtColor(img.numpy(), cv2.COLOR_RGB2BGR)
    img = tf.image.resize(img, (size, size)) / 255
    img = tf.reshape(img, (1, size, size, 3))
    return (pixels, img)


def add_bboxes(pixels, boxes, scores, classes):
    (h, w, _) = pixels.shape
    for i in range(len(boxes)):
        x1, y1, x2, y2 = boxes[i]
        p1 = (int(x1 * w), int(y1 * h))
        p2 = (int(x2 * w), int(y2 * h))
        pixels = cv2.rectangle(pixels, p1, p2, (255, 0, 0), 2)
        label = classes[i] + ": " + str(round(scores[i], 2))
        t_size = cv2.getTextSize(label, 0, 0.5, thickness=int(0.6 * (h + w) / 600) // 2)[0]
        cv2.rectangle(pixels, p1, (p1[0] + t_size[0], p1[1] - t_size[1] - 3), (255, 0, 0), -1)
        cv2.putText(
            pixels,
            label,
            (p1[0], p1[1] - 2),
            cv2.FONT_HERSHEY_SIMPLEX,
            0.5,
            (255, 255, 255),
            int(0.6 * (h + w) / 600) // 2,
            lineType=cv2.LINE_AA,
        )
    return pixels


def draw_img(pixels):
    cv2.imshow("Image", pixels)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


def save_img(filename, pixels):
    cv2.imwrite(filename, pixels)

3b0e98358ae20841ea22b4b617a9d16ca3f86803
<mask token>


def draw_img(pixels):
    cv2.imshow('Image', pixels)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


def save_img(filename, pixels):
    cv2.imwrite(filename, pixels)

<mask token>


def read_img(path, size):
    img = tf.image.decode_image(open(path, 'rb').read(), channels=3)
    pixels = cv2.cvtColor(img.numpy(), cv2.COLOR_RGB2BGR)
    img = tf.image.resize(img, (size, size)) / 255
    img = tf.reshape(img, (1, size, size, 3))
    return pixels, img


<mask token>


def draw_img(pixels):
    cv2.imshow('Image', pixels)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


def save_img(filename, pixels):
    cv2.imwrite(filename, pixels)

<mask token>


def read_img(path, size):
    img = tf.image.decode_image(open(path, 'rb').read(), channels=3)
    pixels = cv2.cvtColor(img.numpy(), cv2.COLOR_RGB2BGR)
    img = tf.image.resize(img, (size, size)) / 255
    img = tf.reshape(img, (1, size, size, 3))
    return pixels, img


def add_bboxes(pixels, boxes, scores, classes):
    h, w, _ = pixels.shape
    for i in range(len(boxes)):
        x1, y1, x2, y2 = boxes[i]
        p1 = int(x1 * w), int(y1 * h)
        p2 = int(x2 * w), int(y2 * h)
        pixels = cv2.rectangle(pixels, p1, p2, (255, 0, 0), 2)
        label = classes[i] + ': ' + str(round(scores[i], 2))
        t_size = cv2.getTextSize(label, 0, 0.5, thickness=int(0.6 * (h + w) /
            600) // 2)[0]
        cv2.rectangle(pixels, p1, (p1[0] + t_size[0], p1[1] - t_size[1] - 3
            ), (255, 0, 0), -1)
        cv2.putText(pixels, label, (p1[0], p1[1] - 2), cv2.
            FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), int(0.6 * (h + w) /
            600) // 2, lineType=cv2.LINE_AA)
    return pixels


def draw_img(pixels):
    cv2.imshow('Image', pixels)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


def save_img(filename, pixels):
    cv2.imwrite(filename, pixels)

import tensorflow as tf
import cv2


def read_img(path, size):
    img = tf.image.decode_image(open(path, 'rb').read(), channels=3)
    pixels = cv2.cvtColor(img.numpy(), cv2.COLOR_RGB2BGR)
    img = tf.image.resize(img, (size, size)) / 255
    img = tf.reshape(img, (1, size, size, 3))
    return pixels, img


def add_bboxes(pixels, boxes, scores, classes):
    h, w, _ = pixels.shape
    for i in range(len(boxes)):
        x1, y1, x2, y2 = boxes[i]
        p1 = int(x1 * w), int(y1 * h)
        p2 = int(x2 * w), int(y2 * h)
        pixels = cv2.rectangle(pixels, p1, p2, (255, 0, 0), 2)
        label = classes[i] + ': ' + str(round(scores[i], 2))
        t_size = cv2.getTextSize(label, 0, 0.5, thickness=int(0.6 * (h + w) /
            600) // 2)[0]
        cv2.rectangle(pixels, p1, (p1[0] + t_size[0], p1[1] - t_size[1] - 3
            ), (255, 0, 0), -1)
        cv2.putText(pixels, label, (p1[0], p1[1] - 2), cv2.
            FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), int(0.6 * (h + w) /
            600) // 2, lineType=cv2.LINE_AA)
    return pixels


def draw_img(pixels):
    cv2.imshow('Image', pixels)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


def save_img(filename, pixels):
    cv2.imwrite(filename, pixels)

# Copyright 2021 Paweł Anikiel, Kacper Kluk. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

import tensorflow as tf
import cv2


def read_img(path, size):
    img = tf.image.decode_image(open(path, "rb").read(), channels=3)
    pixels = cv2.cvtColor(img.numpy(), cv2.COLOR_RGB2BGR)
    img = tf.image.resize(img, (size, size)) / 255
    img = tf.reshape(img, (1, size, size, 3))
    return (pixels, img)


def add_bboxes(pixels, boxes, scores, classes):
    (h, w, _) = pixels.shape
    for i in range(len(boxes)):
        x1, y1, x2, y2 = boxes[i]
        p1 = (int(x1 * w), int(y1 * h))
        p2 = (int(x2 * w), int(y2 * h))
        pixels = cv2.rectangle(pixels, p1, p2, (255, 0, 0), 2)
        label = classes[i] + ": " + str(round(scores[i], 2))
        t_size = cv2.getTextSize(label, 0, 0.5, thickness=int(0.6 * (h + w) / 600) // 2)[0]
        cv2.rectangle(pixels, p1, (p1[0] + t_size[0], p1[1] - t_size[1] - 3), (255, 0, 0), -1)
        cv2.putText(
            pixels,
            label,
            (p1[0], p1[1] - 2),
            cv2.FONT_HERSHEY_SIMPLEX,
            0.5,
            (255, 255, 255),
            int(0.6 * (h + w) / 600) // 2,
            lineType=cv2.LINE_AA,
        )
    return pixels


def draw_img(pixels):
    cv2.imshow("Image", pixels)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


def save_img(filename, pixels):
    cv2.imwrite(filename, pixels)
