v01 update

.gitignore

@@ -0,0 +1,51 @@
+# 图片格式
+*.jpg
+*.jpeg
+*.png
+*.svg
+*.gif
+
+# 视频格式
+*.mp4
+*.avi
+.ipynb_checkpoints
+*/__pycache__
+
+# 日志格式
+*.log
+*.datas
+*.txt
+
+# 生成文件
+*.pdf
+*.xlsx
+*.csv
+
+# 参数文件
+*.yaml
+*.json
+
+# 压缩文件格式
+*.zip
+*.tar
+*.tar.gz
+*.rar
+
+# 字体格式
+*.ttc
+*.ttf
+*.otf
+
+# 模型文件
+*.pt
+*.db
+
+/flagged
+/run
+!requirements.txt
+!cls_name/*
+!model_config/*
+!img_examples/*
+!packages.txt
+
+app copy.py

README.md

@@ -1,12 +1,12 @@
 ---
 title: Gradio YOLOv8 Det
 emoji: 🚀
-colorFrom: green
-colorTo: green
+colorFrom: red
+colorTo: red
 sdk: gradio
 sdk_version: 3.16.1
 app_file: app.py
-pinned: false
+pinned: true
 license: gpl-3.0
 ---
 

__init__.py

@@ -0,0 +1,2 @@
+__author__ = "曾逸夫（Zeng Yifu）"
+__email__ = "zyfiy1314@163.com"

app.py

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+# Gradio YOLOv8 Det v0.1
+# 创建人：曾逸夫
+# 创建时间：2023-01-13
+
+import os
+
+import argparse
+import csv
+import sys
+
+from ultralytics import YOLO
+import gc
+import json
+import random
+import shutil
+from collections import Counter
+from pathlib import Path
+
+import cv2
+import gradio as gr
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import plotly.express as px
+from matplotlib import font_manager
+
+ROOT_PATH = sys.path[0]  # 项目根目录
+
+# --------------------- 字体库 ---------------------
+SimSun_path = f"{ROOT_PATH}/fonts/SimSun.ttf"  # 宋体文件路径
+TimesNesRoman_path = f"{ROOT_PATH}/fonts/TimesNewRoman.ttf"  # 新罗马字体文件路径
+# 宋体
+SimSun = font_manager.FontProperties(fname=SimSun_path, size=12)
+# 新罗马字体
+TimesNesRoman = font_manager.FontProperties(fname=TimesNesRoman_path, size=12)
+
+import yaml
+from PIL import Image, ImageDraw, ImageFont
+
+from util.fonts_opt import is_fonts
+from util.pdf_opt import pdf_generate
+
+ROOT_PATH = sys.path[0]  # 根目录
+
+# 本地模型路径
+local_model_path = f"{ROOT_PATH}/models"
+local_model_path_02 = f"{ROOT_PATH}/yolov5"
+
+# Gradio YOLOv8 Det版本
+GYD_VERSION = "Gradio YOLOv8 Det v0.1"
+
+# 文件后缀
+suffix_list = [".csv", ".yaml"]
+
+# 字体大小
+FONTSIZE = 25
+
+# 目标尺寸
+obj_style = ["小目标", "中目标", "大目标"]
+
+
+def parse_args(known=False):
+    parser = argparse.ArgumentParser(description="Gradio YOLOv8 Det v0.1")
+    parser.add_argument("--model_type", "-mt", default="online", type=str, help="model type")
+    parser.add_argument("--source", "-src", default="upload", type=str, help="image input source")
+    parser.add_argument("--source_video", "-src_v", default="upload", type=str, help="video input source")
+    parser.add_argument("--img_tool", "-it", default="editor", type=str, help="input image tool")
+    parser.add_argument("--model_name", "-mn", default="yolov8s", type=str, help="model name")
+    parser.add_argument(
+        "--model_cfg",
+        "-mc",
+        default="./model_config/model_name_p5_all.yaml",
+        type=str,
+        help="model config",
+    )
+    parser.add_argument(
+        "--cls_name",
+        "-cls",
+        default="./cls_name/cls_name_zh.yaml",
+        type=str,
+        help="cls name",
+    )
+    parser.add_argument(
+        "--nms_conf",
+        "-conf",
+        default=0.5,
+        type=float,
+        help="model NMS confidence threshold",
+    )
+    parser.add_argument("--nms_iou", "-iou", default=0.45, type=float, help="model NMS IoU threshold")
+    parser.add_argument(
+        "--device",
+        "-dev",
+        default="cuda:0",
+        type=str,
+        help="cuda or cpu",
+    )
+    parser.add_argument("--inference_size", "-isz", default=640, type=int, help="model inference size")
+    parser.add_argument("--max_detnum", "-mdn", default=50, type=float, help="model max det num")
+    parser.add_argument("--slider_step", "-ss", default=0.05, type=float, help="slider step")
+    parser.add_argument(
+        "--is_login",
+        "-isl",
+        action="store_true",
+        default=False,
+        help="is login",
+    )
+    parser.add_argument('--usr_pwd',
+                        "-up",
+                        nargs='+',
+                        type=str,
+                        default=["admin", "admin"],
+                        help="user & password for login")
+    parser.add_argument(
+        "--is_share",
+        "-is",
+        action="store_true",
+        default=False,
+        help="is login",
+    )
+    parser.add_argument("--server_port", "-sp", default=7861, type=int, help="server port")
+
+    args = parser.parse_known_args()[0] if known else parser.parse_args()
+    return args
+
+
+# yaml文件解析
+def yaml_parse(file_path):
+    return yaml.safe_load(open(file_path, encoding="utf-8").read())
+
+
+# yaml csv 文件解析
+def yaml_csv(file_path, file_tag):
+    file_suffix = Path(file_path).suffix
+    if file_suffix == suffix_list[0]:
+        # 模型名称
+        file_names = [i[0] for i in list(csv.reader(open(file_path)))]  # csv版
+    elif file_suffix == suffix_list[1]:
+        # 模型名称
+        file_names = yaml_parse(file_path).get(file_tag)  # yaml版
+    else:
+        print(f"{file_path}格式不正确！程序退出！")
+        sys.exit()
+
+    return file_names
+
+
+# 检查网络连接
+def check_online():
+    # 参考：https://github.com/ultralytics/yolov5/blob/master/utils/general.py
+    # Check internet connectivity
+    import socket
+    try:
+        socket.create_connection(("1.1.1.1", 443), 5)  # check host accessibility
+        return True
+    except OSError:
+        return False
+
+
+# 模型加载
+def model_loading(img_path, conf, iou, infer_size, yolo_model="yolov8n.pt"):
+    model = YOLO(yolo_model)
+
+    results = model(img_path, imgsz=infer_size, conf=conf, iou=iou)
+    return results[0].tolist()
+
+
+# 检测信息
+def export_json(results, img_size):
+
+    return [[{
+        "ID": i,
+        "CLASS": int(result[i][5]),
+        "CLASS_NAME": model_cls_name_cp[int(result[i][5])],
+        "BOUNDING_BOX": {
+            "XMIN": round(result[i][:4].tolist()[0], 6),
+            "YMIN": round(result[i][:4].tolist()[1], 6),
+            "XMAX": round(result[i][:4].tolist()[2], 6),
+            "YMAX": round(result[i][:4].tolist()[3], 6),},
+        "CONF": round(float(result[i][4]), 2),
+        "FPS": round(1000 / float(results.t[1]), 2),
+        "IMG_WIDTH": img_size[0],
+        "IMG_HEIGHT": img_size[1],} for i in range(len(result))] for result in results.xyxyn]
+
+
+# 标签和边界框颜色设置
+def color_set(cls_num):
+    color_list = []
+    for i in range(cls_num):
+        color = tuple(np.random.choice(range(256), size=3))
+        # color = ["#"+''.join([random.choice('0123456789ABCDEF') for j in range(6)])]
+        color_list.append(color)
+
+    return color_list
+
+
+# 随机生成浅色系或者深色系
+def random_color(cls_num, is_light=True):
+    color_list = []
+    for i in range(cls_num):
+        color = (
+            random.randint(0, 127) + int(is_light) * 128,
+            random.randint(0, 127) + int(is_light) * 128,
+            random.randint(0, 127) + int(is_light) * 128,
+        )
+        color_list.append(color)
+
+    return color_list
+
+
+# 检测绘制
+def pil_draw(img_path, score_l, bbox_l, cls_l, cls_index_l, textFont, color_list):
+    img = Image.open(img_path)
+    img_pil = ImageDraw.Draw(img)
+    id = 0
+
+    for score, (xmin, ymin, xmax, ymax), label, cls_index in zip(score_l, bbox_l, cls_l, cls_index_l):
+
+        img_pil.rectangle([xmin, ymin, xmax, ymax], fill=None, outline=color_list[cls_index], width=2)  # 边界框
+        countdown_msg = f"{id}-{label} {score:.2f}"
+        text_w, text_h = textFont.getsize(countdown_msg)  # 标签尺寸
+
+        # 标签背景
+        img_pil.rectangle(
+            (xmin, ymin, xmin + text_w, ymin + text_h),
+            fill=color_list[cls_index],
+            outline=color_list[cls_index],
+        )
+
+        # 标签
+        img_pil.multiline_text(
+            (xmin, ymin),
+            countdown_msg,
+            fill=(0, 0, 0),
+            font=textFont,
+            align="center",
+        )
+
+        id += 1
+
+    return img
+
+
+# YOLOv5图片检测函数
+def yolo_det_img(img_path, model_name, infer_size, conf, iou):
+
+    global model, model_name_tmp, device_tmp
+
+    s_obj, m_obj, l_obj = 0, 0, 0
+
+    area_obj_all = []  # 目标面积
+
+    score_det_stat = []  # 置信度统计
+    bbox_det_stat = []  # 边界框统计
+    cls_det_stat = []  # 类别数量统计
+    cls_index_det_stat = []  # 类别索引统计
+
+    # 模型加载
+    predict_list = model_loading(img_path, conf, iou, infer_size, yolo_model=f"{model_name}.pt")
+
+    color_list = random_color(len(model_cls_name_cp), True)
+
+    # 判断检测对象是否为空
+    if (predict_list != []):
+
+        # ---------------- 加载字体 ----------------
+        yaml_index = cls_name.index(".yaml")
+        cls_name_lang = cls_name[yaml_index - 2:yaml_index]
+
+        if cls_name_lang == "zh":
+            # 中文
+            textFont = ImageFont.truetype(str(f"{ROOT_PATH}/fonts/SimSun.ttf"), size=FONTSIZE)
+        elif cls_name_lang in ["en", "ru", "es", "ar"]:
+            # 英文、俄语、西班牙语、阿拉伯语
+            textFont = ImageFont.truetype(str(f"{ROOT_PATH}/fonts/TimesNewRoman.ttf"), size=FONTSIZE)
+        elif cls_name_lang == "ko":
+            # 韩语
+            textFont = ImageFont.truetype(str(f"{ROOT_PATH}/fonts/malgun.ttf"), size=FONTSIZE)
+
+        for i in range(len(predict_list)):
+            # id = int(i)  # 实例ID
+            obj_cls_index = int(predict_list[i][5])  # 类别索引
+            cls_index_det_stat.append(obj_cls_index)
+
+            obj_cls = model_cls_name_cp[obj_cls_index]  # 类别
+            cls_det_stat.append(obj_cls)
+
+            # ------------ 边框坐标 ------------
+            x0 = int(predict_list[i][0])
+            y0 = int(predict_list[i][1])
+            x1 = int(predict_list[i][2])
+            y1 = int(predict_list[i][3])
+
+            bbox_det_stat.append((x0, y0, x1, y1))
+
+            conf = float(predict_list[i][4])  # 置信度
+            score_det_stat.append(conf)
+
+            # fps = f"{(1000 / float(results.t[1])):.2f}"  # FPS
+
+            # ---------- 加入目标尺寸 ----------
+            w_obj = x1 - x0
+            h_obj = y1 - y0
+            area_obj = w_obj * h_obj
+            area_obj_all.append(area_obj)
+
+        det_img = pil_draw(img_path, score_det_stat, bbox_det_stat, cls_det_stat, cls_index_det_stat, textFont,
+                           color_list)
+
+        # -------------- 目标尺寸计算 --------------
+        for i in range(len(area_obj_all)):
+            if (0 < area_obj_all[i] <= 32 ** 2):
+                s_obj = s_obj + 1
+            elif (32 ** 2 < area_obj_all[i] <= 96 ** 2):
+                m_obj = m_obj + 1
+            elif (area_obj_all[i] > 96 ** 2):
+                l_obj = l_obj + 1
+
+        sml_obj_total = s_obj + m_obj + l_obj
+        objSize_dict = {}
+        objSize_dict = {obj_style[i]: [s_obj, m_obj, l_obj][i] / sml_obj_total for i in range(3)}
+
+        # ------------ 类别统计 ------------
+        clsRatio_dict = {}
+        clsDet_dict = Counter(cls_det_stat)
+        clsDet_dict_sum = sum(clsDet_dict.values())
+        for k, v in clsDet_dict.items():
+            clsRatio_dict[k] = v / clsDet_dict_sum
+
+        return det_img, objSize_dict, clsRatio_dict
+    else:
+        print("图片目标不存在！")
+        return None, None, None
+
+
+def main(args):
+    gr.close_all()
+
+    global model_cls_name_cp, cls_name
+
+    source = args.source
+    img_tool = args.img_tool
+    nms_conf = args.nms_conf
+    nms_iou = args.nms_iou
+    model_name = args.model_name
+    model_cfg = args.model_cfg
+    cls_name = args.cls_name
+    inference_size = args.inference_size
+    slider_step = args.slider_step
+    is_share = args.is_share
+
+    is_fonts(f"{ROOT_PATH}/fonts")  # 检查字体文件
+
+    model_names = yaml_csv(model_cfg, "model_names")  # 模型名称
+    model_cls_name = yaml_csv(cls_name, "model_cls_name")  # 类别名称
+
+    model_cls_name_cp = model_cls_name.copy()  # 类别名称
+
+    # ------------------- 图片模式输入组件 -------------------
+    inputs_img = gr.Image(image_mode="RGB", source=source, tool=img_tool, type="filepath", label="原始图片")
+    inputs_model01 = gr.Dropdown(choices=model_names, value=model_name, type="value", label="模型")
+    inputs_size01 = gr.Slider(384, 1536, step=128, value=inference_size, label="推理尺寸")
+    input_conf01 = gr.Slider(0, 1, step=slider_step, value=nms_conf, label="置信度阈值")
+    inputs_iou01 = gr.Slider(0, 1, step=slider_step, value=nms_iou, label="IoU 阈值")
+
+    # ------------------- 图片模式输入参数 -------------------
+    inputs_img_list = [
+        inputs_img,  # 输入图片
+        inputs_model01,  # 模型
+        inputs_size01,  # 推理尺寸
+        input_conf01,  # 置信度阈值
+        inputs_iou01,  # IoU阈值
+    ]
+
+    # ------------------- 图片模式输出组件 -------------------
+    outputs_img = gr.Image(type="pil", label="检测图片")
+    outputs_objSize = gr.Label(label="目标尺寸占比统计")
+    outputs_clsSize = gr.Label(label="类别检测占比统计")
+
+    # ------------------- 图片模式输出参数 -------------------
+    outputs_img_list = [outputs_img, outputs_objSize, outputs_clsSize]
+
+    # 标题
+    title = "Gradio YOLOv8 Det"
+
+    # 描述
+    description = "<div align='center'>可自定义目标检测模型、安装简单、使用方便</div>"
+
+    # 示例图片
+    examples_imgs = [
+        [
+            "./img_examples/bus.jpg",
+            "yolov8s",
+            640,
+            0.6,
+            0.5,],
+        [
+            "./img_examples/giraffe.jpg",
+            "yolov8l",
+            320,
+            0.5,
+            0.45,],
+        [
+            "./img_examples/zidane.jpg",
+            "yolov8m",
+            640,
+            0.6,
+            0.5,],
+        [
+            "./img_examples/Millenial-at-work.jpg",
+            "yolov8x",
+            1280,
+            0.5,
+            0.5,],]
+
+    # 接口
+    gyd_img = gr.Interface(
+        fn=yolo_det_img,
+        inputs=inputs_img_list,
+        outputs=outputs_img_list,
+        title=title,
+        description=description,
+        examples=examples_imgs,
+        flagging_dir="run",  # 输出目录
+        allow_flagging="manual",
+        flagging_options=["good", "generally", "bad"],
+    )
+
+    gyd_img.launch(
+        inbrowser=True,  # 自动打开默认浏览器
+        show_tips=True,  # 自动显示gradio最新功能
+        share=is_share,  # 项目共享，其他设备可以访问
+        favicon_path="./icon/logo.ico",  # 网页图标
+        show_error=True,  # 在浏览器控制台中显示错误信息
+        quiet=True,  # 禁止大多数打印语句
+    )
+
+
+if __name__ == "__main__":
+    args = parse_args()
+    main(args)

cls_name/cls_name.csv

@@ -0,0 +1,80 @@
+人
+自行车
+汽车
+摩托车
+飞机
+公交车
+火车
+卡车
+船
+红绿灯
+消防栓
+停止标志
+停车收费表
+长凳
+鸟
+猫
+狗
+马
+羊
+牛
+象
+熊
+斑马
+长颈鹿
+背包
+雨伞
+手提包
+领带
+手提箱
+飞盘
+滑雪板
+单板滑雪
+运动球
+风筝
+棒球棒
+棒球手套
+滑板
+冲浪板
+网球拍
+瓶子
+红酒杯
+杯子
+叉子
+刀
+勺
+碗
+香蕉
+苹果
+三明治
+橙子
+西兰花
+胡萝卜
+热狗
+比萨
+甜甜圈
+蛋糕
+椅子
+长椅
+盆栽
+床
+餐桌
+马桶
+电视
+笔记本电脑
+鼠标
+遥控器
+键盘
+手机
+微波炉
+烤箱
+烤面包机
+洗碗槽
+冰箱
+书
+时钟
+花瓶
+剪刀
+泰迪熊
+吹风机
+牙刷

cls_name/cls_name.yaml

@@ -0,0 +1,7 @@
+model_cls_name: ['人', '自行车', '汽车', '摩托车', '飞机', '公交车', '火车', '卡车', '船', '红绿灯', '消防栓', '停止标志',
+                '停车收费表', '长凳', '鸟', '猫', '狗', '马', '羊', '牛', '象', '熊', '斑马', '长颈鹿', '背包', '雨伞', '手提包', '领带',
+                '手提箱', '飞盘', '滑雪板', '单板滑雪', '运动球', '风筝', '棒球棒', '棒球手套', '滑板', '冲浪板', '网球拍', '瓶子', '红酒杯',
+                '杯子', '叉子', '刀', '勺', '碗', '香蕉', '苹果', '三明治', '橙子', '西兰花', '胡萝卜', '热狗', '比萨', '甜甜圈', '蛋糕',
+                '椅子', '长椅', '盆栽', '床', '餐桌', '马桶', '电视', '笔记本电脑', '鼠标', '遥控器', '键盘', '手机', '微波炉', '烤箱',
+                '烤面包机', '洗碗槽', '冰箱', '书', '时钟', '花瓶', '剪刀', '泰迪熊', '吹风机', '牙刷'
+            ]

cls_name/cls_name_ar.yaml

@@ -0,0 +1,9 @@
+model_cls_name: [" الناس " , " الدراجات " , " السيارات " , " الدراجات النارية " , " الطائرات " , " الحافلات " , " القطارات " , " الشاحنات " , " السفن " , " إشارات المرور " ,
+" صنبور " , " علامة " , " موقف سيارات " , " الجدول " , " مقعد " , " الطيور " , " القط " , " الكلب " , " الحصان " , " الأغنام " , " الثور " , " الفيل " ,
+" الدب " , " حمار وحشي " , " الزرافة " , " حقيبة " , " مظلة " , " حقيبة يد " , " ربطة عنق " , " حقيبة " , " الفريسبي " , " الزلاجات " , " الزلاجات " ,
+" الكرة الرياضية " , " طائرة ورقية " , " مضرب بيسبول " , " قفازات البيسبول " , " لوح التزلج " , " ركوب الأمواج " , " مضرب تنس " , " زجاجة " ,
+" كأس " , " كأس " , " شوكة " , " سكين " , " ملعقة " , " وعاء " , " الموز " , " التفاح " , " ساندويتش " , " البرتقال " , " القرنبيط " ,
+" الجزر " , " الكلاب الساخنة " , " البيتزا " , " دونات " , " كعكة " , " كرسي " , " أريكة " , " بوعاء " , " السرير " , " طاولة الطعام " , " المرحاض " ,
+التلفزيون , الكمبيوتر المحمول , الفأرة , وحدة تحكم عن بعد , لوحة المفاتيح , الهاتف المحمول , فرن الميكروويف , محمصة خبز كهربائية , بالوعة , ثلاجة ,
+" كتاب " , " ساعة " , " زهرية " , " مقص " , " دمية دب " , " مجفف الشعر " , " فرشاة الأسنان "
+]

cls_name/cls_name_custom.yaml

@@ -0,0 +1 @@
+model_cls_name: ['face']

cls_name/cls_name_en.yaml

@@ -0,0 +1,9 @@
+model_cls_name: ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
+    'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant',
+    'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard',
+    'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle',
+    'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli',
+    'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet',
+    'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator',
+    'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'
+]

cls_name/cls_name_es.yaml

@@ -0,0 +1,9 @@
+model_cls_name: ['persona', 'bicicleta', 'coche', 'motocicleta', 'avión', 'autobús', 'tren', 'camión', 'barco', 'semáforo',
+     'boca de incendios', 'señal de alto', 'parquímetro', 'banco', 'pájaro', 'gato', 'perro', 'caballo', 'oveja', 'vaca', 'elefante',
+     'oso', 'cebra', 'jirafa', 'mochila', 'paraguas', 'bolso', 'corbata', 'maleta', 'frisbee', 'esquís', 'snowboard',
+     'pelota deportiva', 'cometa', 'bate de béisbol', 'guante de béisbol', 'monopatín', 'tabla de surf', 'raqueta de tenis', 'botella',
+     'copa de vino', 'taza', 'tenedor', 'cuchillo', 'cuchara', 'tazón', 'plátano', 'manzana', 'sándwich', 'naranja', 'brócoli',
+     'zanahoria', 'perrito caliente', 'pizza', 'rosquilla', 'pastel', 'silla', 'sofá', 'planta en maceta', 'cama', 'mesa de comedor', 'inodoro',
+     'tv', 'laptop', 'ratón', 'control remoto', 'teclado', 'celular', 'microondas', 'horno', 'tostadora', 'fregadero', 'nevera',
+     'libro', 'reloj', 'jarrón', 'tijeras', 'oso de peluche', 'secador de pelo', 'cepillo de dientes'
+]

cls_name/cls_name_ko.yaml

@@ -0,0 +1,9 @@
+model_cls_name: ['사람', '자전거', '자동차', '오토바이', '비행기', '버스', '기차', '트럭', '보트', '신호등',
+     '소화전', '정지 신호', '주차 미터기', '벤치', '새', '고양이', '개', '말', '양', '소', '코끼리',
+     '곰', '얼룩말', '기린', '배낭', '우산', '핸드백', '타이', '여행가방', '프리스비', '스키', '스노우보드',
+     '스포츠 공', '연', '야구 방망이', '야구 글러브', '스케이트보드', '서프보드', '테니스 라켓', '병',
+     '와인잔', '컵', '포크', '나이프', '숟가락', '그릇', '바나나', '사과', '샌드위치', '오렌지', '브로콜리',
+     '당근', '핫도그', '피자', '도넛', '케이크', '의자', '소파', '화분', '침대', '식탁', '화장실',
+     'tv', '노트북', '마우스', '리모컨', '키보드', '휴대전화', '전자레인지', '오븐', '토스터', '싱크대', '냉장고',
+     '책', '시계', '꽃병', '가위', '테디베어', '드라이기', '칫솔'
+]

cls_name/cls_name_ru.yaml

@@ -0,0 +1,9 @@
+model_cls_name: ['человек', 'велосипед', 'автомобиль', 'мотоцикл', 'самолет', 'автобус', 'поезд', 'грузовик', 'лодка', 'светофор',
+     'пожарный гидрант', 'стоп', 'паркомат', 'скамейка', 'птица', 'кошка', 'собака', 'лошадь', 'овца', 'корова', 'слон',
+     'медведь', 'зебра', 'жираф', 'рюкзак', 'зонт', 'сумочка', 'галстук', 'чемодан', 'фрисби', 'лыжи', 'сноуборд',
+     'спортивный мяч', 'воздушный змей', 'бейсбольная бита', 'бейсбольная перчатка', 'скейтборд', 'доска для серфинга', 'теннисная ракетка', 'бутылка',
+     'бокал', 'чашка', 'вилка', 'нож', 'ложка', 'миска', 'банан', 'яблоко', 'бутерброд', 'апельсин', 'брокколи',
+     'морковь', 'хот-дог', 'пицца', 'пончик', 'торт', 'стул', 'диван', 'растение в горшке', 'кровать', 'обеденный стол', 'туалет',
+     'телевизор', 'ноутбук', 'мышь', 'пульт', 'клавиатура', 'мобильный телефон', 'микроволновая печь', 'духовка', 'тостер', 'раковина', 'холодильник',
+     'книга', 'часы', 'ваза', 'ножницы', 'плюшевый мишка', 'фен', 'зубная щетка'
+]

cls_name/cls_name_zh.yaml

@@ -0,0 +1,7 @@
+model_cls_name: ['人', '自行车', '汽车', '摩托车', '飞机', '公交车', '火车', '卡车', '船', '红绿灯', '消防栓', '停止标志',
+                '停车收费表', '长凳', '鸟', '猫', '狗', '马', '羊', '牛', '象', '熊', '斑马', '长颈鹿', '背包', '雨伞', '手提包', '领带',
+                '手提箱', '飞盘', '滑雪板', '单板滑雪', '运动球', '风筝', '棒球棒', '棒球手套', '滑板', '冲浪板', '网球拍', '瓶子', '红酒杯',
+                '杯子', '叉子', '刀', '勺', '碗', '香蕉', '苹果', '三明治', '橙子', '西兰花', '胡萝卜', '热狗', '比萨', '甜甜圈', '蛋糕',
+                '椅子', '长椅', '盆栽', '床', '餐桌', '马桶', '电视', '笔记本电脑', '鼠标', '遥控器', '键盘', '手机', '微波炉', '烤箱',
+                '烤面包机', '洗碗槽', '冰箱', '书', '时钟', '花瓶', '剪刀', '泰迪熊', '吹风机', '牙刷'
+            ]

model_config/model_name_custom.yaml

@@ -0,0 +1 @@
+model_names: ["widerface-m"]

model_config/model_name_p5_all.csv

@@ -0,0 +1,5 @@
+yolov8n
+yolov8s
+yolov8m
+yolov8l
+yolov8x

model_config/model_name_p5_all.yaml

@@ -0,0 +1 @@
+model_names: ["yolov8n", "yolov8s", "yolov8m", "yolov8l", "yolov8x"]

requirements.txt

@@ -0,0 +1,14 @@
+ultralytics
+opencv-python
+matplotlib
+numpy
+pandas
+pyyaml
+pillow
+wget>=3.2
+rich>=12.2.0
+fpdf>=1.7.2
+plotly>=5.7.0
+bokeh>=2.4.2
+openpyxl>=3.0.10
+

util/fonts_opt.py

@@ -0,0 +1,67 @@
+# 字体管理
+# 创建人：曾逸夫
+# 创建时间：2022-05-01
+
+import os
+import sys
+from pathlib import Path
+
+import wget
+from rich.console import Console
+
+ROOT_PATH = sys.path[0]  # 项目根目录
+
+# 中文、英文、俄语、西班牙语、阿拉伯语、韩语
+fonts_list = ["SimSun.ttf", "TimesNewRoman.ttf", "malgun.ttf"]  # 字体列表
+fonts_suffix = ["ttc", "ttf", "otf"]  # 字体后缀
+
+data_url_dict = {
+    "SimSun.ttf": "https://gitee.com/CV_Lab/gradio_yolov5_det/attach_files/1053539/download/SimSun.ttf",
+    "TimesNewRoman.ttf": "https://gitee.com/CV_Lab/gradio_yolov5_det/attach_files/1053537/download/TimesNewRoman.ttf",
+    "malgun.ttf": "https://gitee.com/CV_Lab/gradio_yolov5_det/attach_files/1053538/download/malgun.ttf",}
+
+console = Console()
+
+
+# 创建字体库
+def add_fronts(font_diff):
+
+    global font_name
+
+    for k, v in data_url_dict.items():
+        if k in font_diff:
+            font_name = v.split("/")[-1]  # 字体名称
+            Path(f"{ROOT_PATH}/fonts").mkdir(parents=True, exist_ok=True)  # 创建目录
+
+            file_path = f"{ROOT_PATH}/fonts/{font_name}"  # 字体路径
+
+            try:
+                # 下载字体文件
+                wget.download(v, file_path)
+            except Exception as e:
+                print("路径错误！程序结束！")
+                print(e)
+                sys.exit()
+            else:
+                print()
+                console.print(f"{font_name} [bold green]字体文件下载完成！[/bold green] 已保存至：{file_path}")
+
+
+# 判断字体文件
+def is_fonts(fonts_dir):
+    if os.path.isdir(fonts_dir):
+        # 如果字体库存在
+        f_list = os.listdir(fonts_dir)  # 本地字体库
+
+        font_diff = list(set(fonts_list).difference(set(f_list)))
+
+        if font_diff != []:
+            # 字体不存在
+            console.print("[bold red]字体不存在，正在加载。。。[/bold red]")
+            add_fronts(font_diff)  # 创建字体库
+        else:
+            console.print(f"{fonts_list}[bold green]字体已存在！[/bold green]")
+    else:
+        # 字体库不存在，创建字体库
+        console.print("[bold red]字体库不存在，正在创建。。。[/bold red]")
+        add_fronts(fonts_list)  # 创建字体库

util/pdf_opt.py

@@ -0,0 +1,84 @@
+# PDF管理
+# 创建人：曾逸夫
+# 创建时间：2022-05-05
+
+from fpdf import FPDF
+
+
+# PDF生成类
+class PDF(FPDF):
+    # 参考：https://pyfpdf.readthedocs.io/en/latest/Tutorial/index.html
+    def header(self):
+        # 设置中文字体
+        self.add_font("SimSun", "", "./fonts/SimSun.ttf", uni=True)
+        self.set_font("SimSun", "", 16)
+        # Calculate width of title and position
+        w = self.get_string_width(title) + 6
+        self.set_x((210 - w) / 2)
+        # Colors of frame, background and text
+        self.set_draw_color(255, 255, 255)
+        self.set_fill_color(255, 255, 255)
+        self.set_text_color(0, 0, 0)
+        # Thickness of frame (1 mm)
+        # self.set_line_width(1)
+        # Title
+        self.cell(w, 9, title, 1, 1, "C", 1)
+        # Line break
+        self.ln(10)
+
+    def footer(self):
+        # Position at 1.5 cm from bottom
+        self.set_y(-15)
+        # 设置中文字体
+        self.add_font("SimSun", "", "./fonts/SimSun.ttf", uni=True)
+        self.set_font("SimSun", "", 12)
+        # Text color in gray
+        self.set_text_color(128)
+        # Page number
+        self.cell(0, 10, "Page " + str(self.page_no()), 0, 0, "C")
+
+    def chapter_title(self, num, label):
+        # 设置中文字体
+        self.add_font("SimSun", "", "./fonts/SimSun.ttf", uni=True)
+        self.set_font("SimSun", "", 12)
+        # Background color
+        self.set_fill_color(200, 220, 255)
+        # Title
+        # self.cell(0, 6, 'Chapter %d : %s' % (num, label), 0, 1, 'L', 1)
+        self.cell(0, 6, "检测结果：", 0, 1, "L", 1)
+        # Line break
+        self.ln(4)
+
+    def chapter_body(self, name):
+
+        # 设置中文字体
+        self.add_font("SimSun", "", "./fonts/SimSun.ttf", uni=True)
+        self.set_font("SimSun", "", 12)
+        # Output justified text
+        self.multi_cell(0, 5, name)
+        # Line break
+        self.ln()
+        self.cell(0, 5, "--------------------------------------")
+
+    def print_chapter(self, num, title, name):
+        self.add_page()
+        self.chapter_title(num, title)
+        self.chapter_body(name)
+
+    def print_img(self, name, x, y, width):
+        self.add_page()
+        self.image(name, x, y, width)
+
+
+# pdf生成函数
+def pdf_generate(input_file, origin_det_imgs, output_file, title_):
+    global title
+
+    title = title_
+    pdf = PDF()
+    pdf.set_title(title)
+    pdf.set_author("Zeng Yifu")
+    pdf.print_img(origin_det_imgs[0], 10, 30, 150)
+    pdf.print_img(origin_det_imgs[1], 10, 30, 150)
+    pdf.print_chapter(1, "A RUNAWAY REEF", input_file)
+    pdf.output(output_file)