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Running
on
Zero
File size: 6,982 Bytes
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import base64
import os
import cv2
import numpy as np
# Function to encode the image
def encode_image(image_path):
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode("utf-8")
def paint_text_point(image_path, points):
image = cv2.imread(image_path)
image_name = image_path.split("/")[-1].split(".")[0] + ".jpg"
h, w, channels = image.shape
# 创建一个与原始图像大小相同的黑色图像 (所有像素值为0)
pre_alpha_image = np.zeros_like(
image
) # 设置混合参数，alpha 为原图的权重，beta 为黑色图像的权重
alpha = 0.7
beta = 1.0 - alpha
image = cv2.addWeighted(image, alpha, pre_alpha_image, beta, 0)
for i, [x, y] in enumerate(points, start=1):
# 画点
cv2.circle(
image, (x, y), 4, (0, 255, 0), -1
) # 5是圆点的半径，(0, 255, 0)是颜色（绿色），-1表示填充
# 初始文本位置
text_x, text_y = x + 5, y - 5
# 调整文本位置以防止出界
if text_x + 20 > w: # 如果文本超出右边界
text_x = x - 20
if text_y - 10 < 0: # 如果文本超出上边界
text_y = y + 20
if y + 10 > h: # 如果文本超出下边界
text_y = y - 20
thickness = 2
### 红色字体
# cv2.putText(image, str(i), (text_x, text_y), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 0), thickness + 2)
# # 在调整后的位置上标上数字
# cv2.putText(image, str(i), (text_x, text_y), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), thickness)
### 黑底白字
# 计算文本的宽度和高度
text = str(i)
(text_width, text_height), baseline = cv2.getTextSize(
text, cv2.FONT_HERSHEY_SIMPLEX, 0.7, thickness
)
# 计算矩形背景的顶点坐标
top_left = (text_x, text_y - text_height - baseline)
bottom_right = (text_x + text_width, text_y + baseline)
# 绘制黑色矩形作为背景
cv2.rectangle(image, top_left, bottom_right, (0, 0, 0), -1)
# 在黑色矩形上绘制白色文字
cv2.putText(
image,
text,
(text_x, text_y),
cv2.FONT_HERSHEY_SIMPLEX,
0.7,
(255, 255, 255),
thickness,
)
save_path = os.path.join("debug", f"point_{image_name}")
cv2.imwrite(save_path, image)
return save_path
def paint_text_box(image_path, bbox, rgb=(0, 255, 0), rect_thickness=2):
image = cv2.imread(image_path)
image_name = image_path.split("/")[-1].split(".")[0] + ".jpg"
h, w, channels = image.shape
# 创建一个与原始图像大小相同的黑色图像 (所有像素值为0)
pre_alpha_image = np.zeros_like(image)
alpha = 0.8
beta = 1.0 - alpha
image = cv2.addWeighted(image, alpha, pre_alpha_image, beta, 0)
for i, (x, y, box_w, box_h) in enumerate(bbox, start=1):
# 画矩形框
x, y, box_w, box_h = int(x), int(y), int(box_w), int(box_h)
cv2.rectangle(image, (x, y), (x + box_w, y + box_h), rgb, rect_thickness)
# 初始文本位置
text_x, text_y = x + 4, y + 20
# 调整文本位置以防止出界
if text_x < 0: # 如果文本超出左边界
text_x = 0
if text_y < 0: # 如果文本超出上边界
text_y = y + box_h + 15
if text_y > h: # 如果文本超出下边界
text_y = h - 5
thickness = 2
# 获取文本宽度和高度
text = str(i)
(text_width, text_height), baseline = cv2.getTextSize(
text, cv2.FONT_HERSHEY_SIMPLEX, 0.65, thickness
)
# 计算文本位置
text_x = x + 4
text_y = y + 20
# 绘制文本矩形背景
cv2.rectangle(
image,
(text_x, text_y - text_height - baseline),
(text_x + text_width, text_y + baseline),
(0, 0, 0),
-1,
)
# 绘制文本
cv2.putText(
image,
text,
(text_x, text_y),
cv2.FONT_HERSHEY_SIMPLEX,
0.65,
(255, 255, 255),
thickness,
)
save_path = os.path.join("debug", f"box_{image_name}")
# 保存图像
cv2.imwrite(save_path, image)
return save_path
def paint_text_polygan(image_path, dataset, polygons, dict_id, rgb, rect_thickness):
image = cv2.imread(image_path)
image_name = str(dict_id) + ".jpg"
h, w, channels = image.shape
# 创建一个与原始图像大小相同的黑色图像 (所有像素值为0)
pre_alpha_image = np.zeros_like(image)
alpha = 0.8
beta = 1.0 - alpha
image = cv2.addWeighted(image, alpha, pre_alpha_image, beta, 0)
for idx, item in enumerate(polygons, start=1):
ori_points = []
for i in range(0, len(item), 2):
ori_points.append([int(item[i]), int(item[i + 1])])
points = np.array(ori_points).reshape((-1, 1, 2))
cv2.polylines(
image, [points], isClosed=True, color=rgb, thickness=rect_thickness
)
min_y = float("inf") # 初始化最小的 y 坐标为正无穷大
min_x = float("inf") # 初始化最小的 y 对应的 x 坐标为 None
for i in range(0, len(item), 2):
x = item[i]
y = item[i + 1]
if x < min_x:
min_y = y
min_x = x
text_x = min_x
text_y = min_y
# 调整文本位置以防止出界
if text_x + 20 > w:
text_x = min_x - 20
if text_x - 20 < 0:
text_x = min_x + 20
if text_y - 10 < 0:
text_y = min_y + 20
if min_y + 10 > h:
text_y = min_y - 20
thickness = 2
text = str(idx)
(text_width, text_height), baseline = cv2.getTextSize(
text, cv2.FONT_HERSHEY_SIMPLEX, 0.7, thickness
)
text_x, text_y, text_width, text_height, baseline = (
int(text_x),
int(text_y),
int(text_width),
int(text_height),
int(baseline),
)
# 计算文本位置
# text_y = text_y - 5 if text_y - 5 > 0 else text_y + text_height + 15
# 绘制文本矩形背景
cv2.rectangle(
image,
(text_x, text_y - text_height - baseline),
(text_x + text_width, text_y + baseline),
(0, 0, 0),
-1,
)
# 绘制文本
cv2.putText(
image,
text,
(text_x, text_y),
cv2.FONT_HERSHEY_SIMPLEX,
0.7,
(255, 255, 255),
thickness,
)
save_path = os.path.join("save_data/" + dataset, image_name)
# 保存图像
cv2.imwrite(save_path, image)
return save_path
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