[Feature] 可自定义滑窗和步长 & [Improve] 修改孔洞处理显示逻辑

backend/app.py

@@ -28,7 +28,9 @@ def error_handler(e):
     with open('../config.yaml') as file:
         config = yaml.load(file.read(), Loader=yaml.FullLoader)
     with open("../frontend/.env", 'w') as file:
-        file.write("VUE_APP_BACKEND_PORT = {}\nVUE_APP_BACKEND_IP = {}".format(
-            config["port"]["backend"], config["host"]["backend"]
-            if config["host"]["backend"] != "0.0.0.0" else "127.0.0.1"))
+        file.write(
+            "VUE_APP_BACKEND_PORT = {}\nVUE_APP_BACKEND_IP = {}\nVUE_APP_BAIDU_MAP_ACCESS_KEY = {}".
+            format(config["port"]["backend"], config["host"]["backend"]
+                   if config["host"]["backend"] != "0.0.0.0" else "127.0.0.1",
+                   config["baidu_map"]["access_key"]))
     app.run(host=config["host"]["backend"], port=config["port"]["backend"])

backend/applications/api/analysis.py

@@ -52,6 +52,12 @@ def show_result(type):
 def change_detection_api():
     req_json = request.json
     model_path = req_json["model_path"]
+    window_size = int(req_json.get("window_size", 256))
+    stride = int(req_json.get("stride", 128))
+    if window_size <= 0 or stride <= 0:
+        return fail_api("步长和窗口大小必须大于0")
+    if window_size < stride:
+        return fail_api("步长必须小于等于窗口大小")
     try:
         model_info = get_model_info(model_path)
         if model_info["_Attributes"]["model_type"] != "change_detector":
@@ -75,7 +81,7 @@ def change_detection_api():
     print("----------------->change_detection" + json.dumps(req_json))
     type_ = 1
     change_detection(model_path, up_dir, generate_dir, list_, step1_, step2_,
-                     type_)
+                     type_, window_size, stride)
     return success_api()
 
 
@@ -255,48 +261,3 @@ def image_pre():
         for i, img in enumerate(imgs):
             imgs[i] = generate_url + img
     return success_api(data=imgs)
-
-
-"""
-    孔洞处理
-"""
-
-
-@analysis_api.post('/hole')
-def hole_handle1():
-    req_json = request.json
-    analysis_id = req_json["id"]
-    if analysis_id is None:
-        return fail_api("参数异常")
-
-    analysis = Analysis.query.filter_by(id=analysis_id, type=1).first()
-    if not analysis:
-        return fail_api("这一组分析记录不存在")
-    if analysis.type != 1:
-        return fail_api("类型错误")
-    if analysis.is_hole:
-        return fail_api("这一组分析记录已经孔洞处理过")
-    temps = list()
-    temps.append(analysis.after_img)
-    after_img, data = hole_handle(generate_dir, generate_dir, temps)
-    old_data = json.loads(analysis.data)
-    old_data.update(data)
-    mask, count = draw_masks(
-        os.path.join(generate_dir, os.path.basename(after_img)))
-    cv2.imwrite(
-        os.path.join(
-            generate_dir,
-            os.path.splitext(os.path.basename(after_img))[0] + "_mask.png"),
-        mask)
-    old_data["mask"] = generate_url + os.path.splitext(
-        os.path.basename(after_img))[0] + "_mask.png"
-    old_data["count"] = count
-    old_data["fractional_variation"] = compute_variation(
-        os.path.join(generate_dir, os.path.basename(after_img)))
-    Analysis.query.filter_by(id=analysis_id).update({
-        "after_img": after_img,
-        "data": json.dumps(old_data),
-        "is_hole": True
-    })
-    db.session.commit()
-    return success_api()

backend/applications/api/model.py

@@ -11,10 +11,10 @@
 @model_api.get('/list/<string:model_type>')
 def get_model_list(model_type):
     types_list = {
-        "change_detector": "change_detector",
+        "change_detection": "change_detector",
         "classification": "classifier",
         "image_restoration": "restorer",
-        "object_detector": "detector",
+        "object_detection": "detector",
         "semantic_segmentation": "segmenter"
     }
     if model_type not in types_list:

backend/applications/image_processing/render.py

@@ -50,11 +50,12 @@ def render(name, data_dir, save_dir,
 
 
 # 批量渲染
-def batch_render(data_dir, save_dir, imgs):
+def batch_render(data_dir, save_dir, imgs, prefix):
     temps = list()
     for img in imgs:
         maps = dict()
         for i in range(4):
-            maps[i] = generate_url + render(img, data_dir, save_dir, i)
+            maps[i] = generate_url + (prefix + "/" if prefix != "" else ""
+                                      ) + render(img, data_dir, save_dir, i)
         temps.append(maps)
     return temps

backend/applications/interface/analysis.py

@@ -5,7 +5,7 @@
 import cv2
 
 from applications.common.path_global import fun_type_1, fun_type_2, fun_type_3, fun_type_4, fun_type_5, \
-    fun_type_6, fun_type_7, generate_url, fun_type_8, up_url
+    fun_type_6, fun_type_7, generate_url, fun_type_8, up_url, generate_dir
 from applications.common.utils.upload import img_url_handle
 from applications.extensions import db
 from applications.image_processing import histogram_match
@@ -47,13 +47,22 @@ def save_analysis(type_,
     db.session.commit()
 
 
-def change_detection(model_path, data_path, out_dir, names, step1, step2,
-                     type_):
+def change_detection(model_path,
+                     data_path,
+                     out_dir,
+                     names,
+                     step1,
+                     step2,
+                     type_,
+                     window_size=256,
+                     stride=128):
     """
     变化检测
     :param model_path: 静态图模型路径
     :param data_path: 图片数据路径，路径中有名称为A和B的两个文件夹分别存储不同时相的图片（1024，1024），且相应图片名称相同
     :param out_dir:图片保存路径
+    :param window_size:滑窗大小
+    :param stride:步长
     :return:
     """
     print("变化检测----------------->start")
@@ -87,7 +96,13 @@ def change_detection(model_path, data_path, out_dir, names, step1, step2,
         pair["second"] = resizes1[i]
         i += 1
     # 3.检测对比，带地址的文件名，纯文件名
-    retPics, filenames = CD.execute(model_path, data_path, out_dir, names)
+    retPics, filenames = CD.execute(
+        model_path,
+        data_path,
+        out_dir,
+        names,
+        window_size=window_size,
+        stride=stride)
     # 4.检测渲染
     res = handle(fun_type_6, filenames, out_dir, out_dir)
     # 5.入库
@@ -101,19 +116,39 @@ def change_detection(model_path, data_path, out_dir, names, step1, step2,
         cv2.imwrite(
             os.path.join(out_dir,
                          os.path.splitext(filenames[i])[0] + "_mask.png"), mask)
-        res[i]["mask"] = generate_url + os.path.splitext(filenames[i])[
+        res[i]["mask"] = out_dir + os.path.splitext(filenames[i])[
             0] + "_mask.png"
         res[i]["count"] = count
         res[i]["fractional_variation"] = compute_variation(
             os.path.join(out_dir, filenames[i]))
+        after_img, data = hole_handle(out_dir, out_dir + "hole/", [retPic])
+        res[i]["hole"] = after_img
+        res[i]["hole_style"] = handle(
+            fun_type_6, [os.path.basename(after_img)],
+            out_dir + "hole/",
+            out_dir + "hole/",
+            prefix="hole")[0]
+        mask, count = draw_masks(
+            os.path.join(out_dir + "hole/", os.path.basename(after_img)))
+        cv2.imwrite(
+            os.path.join(
+                out_dir + "hole/",
+                os.path.splitext(os.path.basename(after_img))[0] + "_mask.png"),
+            mask)
+        res[i]["mask_hole"] = out_dir + "hole/" + os.path.splitext(
+            os.path.basename(after_img))[0] + "_mask.png"
+        res[i]["count_hole"] = count
+        res[i]["fractional_variation_hole"] = compute_variation(
+            os.path.join(generate_dir + "hole/", os.path.basename(after_img)))
         data = json.dumps(res[i])
         save_analysis(
             type_,
             first_,
             retPic,
             pic2=second_,
             data=data,
-            checked=str(step1) + "," + str(step2))
+            checked=str(step1) + "," + str(step2),
+            is_hole=True)
         i += 1
     print("变化检测----------------->end")
 
@@ -124,7 +159,7 @@ def hole_handle(data_path, out_dir, names):
     res = handle(fun_type_8, names, data_path, out_dir)
     # 4.检测渲染
     res1 = handle(fun_type_6, res, out_dir, out_dir)
-    return generate_url + res[0], res1[0]
+    return generate_url + "hole/" + res[0], res1[0]
 
 
 def url_handle(imgs):
@@ -271,7 +306,7 @@ def image_restoration(model_path, data_path, out_dir, names, type_):
     print("图像复原----------------->end")
 
 
-def handle(fun_type, imgs, src_dir, save_dir):
+def handle(fun_type, imgs, src_dir, save_dir, prefix=""):
     """
 
     :param fun_type:
@@ -305,7 +340,7 @@ def handle(fun_type, imgs, src_dir, save_dir):
     elif fun_type == fun_type_5:
         temps = gaussian_blur(src_dir, save_dir, imgs)
     elif fun_type == fun_type_6:
-        temps = batch_render(src_dir, save_dir, imgs)
+        temps = batch_render(src_dir, save_dir, imgs, prefix)
     elif fun_type == fun_type_7:
         temps = batch_render_seg(src_dir, save_dir, imgs)
     elif fun_type == fun_type_8:

config.yaml

@@ -3,4 +3,6 @@ port:
   frontend: 3000
 host:
   backend: 0.0.0.0
-  frontend: 0.0.0.0
+  frontend: 0.0.0.0
+baidu_map:
+  access_key: <ACCESS_KEY>

frontend/.env

@@ -1,2 +1,3 @@
 VUE_APP_BACKEND_PORT = 5008
-VUE_APP_BACKEND_IP = 127.0.0.1
+VUE_APP_BACKEND_IP = 127.0.0.1
+VUE_APP_BAIDU_MAP_ACCESS_KEY = <ACCESS_KEY>

frontend/package.json

@@ -8,6 +8,7 @@
   },
   "dependencies": {
     "@vueuse/core": "^8.5.0",
+    "animate.css": "^4.1.1",
     "axios": "^0.26.1",
     "core-js": "^3.8.3",
     "element-plus": "2.1.10",

frontend/public/index.html

@@ -7,7 +7,6 @@
   <meta name="viewport" content="width=device-width,initial-scale=1.0">
   <link rel="icon" type="image/x-icon" href="<%= BASE_URL %>logo.svg">
   <title>PP-GeoView智能遥感解译平台</title>
-  <script type="text/javascript" src="http://api.map.baidu.com/api?v=3.0&ak=LBgFajzXhdHS09BAfSQYLM6akvzr71QM"></script>
 </head>
 
 <body>

frontend/src/App.vue

@@ -12,8 +12,6 @@
 <script>
 export default {
    name: 'App',
-
 }
 </script>
 
-

frontend/src/api/upload.js

@@ -30,13 +30,6 @@ export function histogramUpload(data){
     })
 }
 
-export function holeHandle(data){
-    return request({
-        method:'POST',
-        url:'api/analysis/hole',
-        data
-    })
-}
 
 export function prePhotoHandle(data){
     return request({

frontend/src/main.js

@@ -9,6 +9,7 @@ import './assets/css/normalize.css'
 import '@/assets/css/app.css'
 import '@/assets/css/font.css'
 import 'element-plus/theme-chalk/display.css'
+import 'animate.css';
 
 import JSZIP from "jszip"
 import zhCn from 'element-plus/es/locale/lang/zh-cn'

frontend/src/utils/loadMap.js

@@ -0,0 +1,17 @@
+export default function loadBMap(ak) {
+    return new Promise(function(resolve, reject) {
+        if (typeof BMap !== 'undefined') {
+            resolve(BMap)
+            return true
+        }
+        window.onBMapCallback = function() {
+            resolve(BMap)
+        }
+        let script = document.createElement('script')
+        script.type = 'text/javascript'
+        script.src =
+            'http://api.map.baidu.com/api?v=3.0&ak=' + ak + '&callback=onBMapCallback'
+        script.onerror = reject
+        document.head.appendChild(script)
+    })
+}