Commit @7a64f89a74e94989bbd5d6a6670b75814a9482ae

윤영준 11-11

final commit ( added testing suites )

@7a64f89a74e94989bbd5d6a6670b75814a9482ae

d281369

7a64f89

ITS/api.py

--- ITS/api.py

+++ ITS/api.py


                 # df.to_csv(f"result/pohang/listofcctv_포항_{x}_{y}.csv", index=False)
             time.sleep(1)
             print(f"{i}, {j}")
-    all_data_df.to_csv(f"ITS/list/{xmin}_{xmax}_y{ymin}_{ymax}.csv")
+    all_data_df.to_csv(f"ITS/list/{xmin}_{xmax}_y{ymin}_{ymax}_its.csv")
     return all_data_df
 
 def get_jpeg(url):

 
 
 if __name__ == "__main__":
-    df = gather_cctv_list(125, 130, 33, 39, 2, "ex", 1)
+    df = gather_cctv_list(128.074392720, 130.909268695, 35.635147801,37.497349441, 2, "its", 1)
     pass
     # get_jpeg("http://cctvsec.ktict.co.kr:8090/74236/IM2NQs4/uHZcgnvJo3V/mjo3tswwgUj87kpcYZfR/BPxaQ4lk9agnl8ARIB9lhlgOD87VBx6RDHFl423kLkqHQ==")

d281369

7a64f89

ITS/api_list_gatherer.py

--- ITS/api_list_gatherer.py

+++ ITS/api_list_gatherer.py

...	...	@@ -111,4 +111,4 @@
111	111	df = gather_cctv_list(x-delta,x+delta, y-delta, y+delta, 1, ty, 1)
112	112	all_data_df = pd.concat((all_data_df,df), ignore_index=True)
113	113	# df = gather_cctv_list(127, 130, 33, 39, 8, "its", 1)
114		- all_data_df.to_csv("cctv_data.csv") (파일 끝에 줄바꿈 문자 없음)
	114	+ all_data_df.to_csv("cctv_data_old.csv") (파일 끝에 줄바꿈 문자 없음)

7a64f89

ITS/cctv_data.csv (added)

+++ ITS/cctv_data.csv

...	...	@@ -0,0 +1,17 @@
	1	+,roadsectionid,coordx,coordy,cctvresolution,filecreatetime,cctvtype,cctvformat,cctvname,cctvurl
	2	+0,,129.2005,35.921825,,,1,HLS,[국도20호선] 검단산업단지,http://cctvsec.ktict.co.kr/71187/bWDrL7fpStZDeDZgCybpJH8gagWJOynbaA/l91ExpmUPKzc3bCsHJtIblDkzG3TfzYDsbNJ7zAQ90+zWILAitFHTEDoXZSOrzc2TRBV36hw=
	3	+1,,129.22647,35.934418,,,1,HLS,[국도20호선] 사방교차로,http://cctvsec.ktict.co.kr/72512/t01+nKA14+X2qGEfUc0SO2WSOj3cPeKShgxB1TCkjNrFrv037BHl3V3nxo7jZxY4qq6hPbgWYVsQhFIo3L4nNOpujyf5mdvuklodth2GKZ4=
	4	+2,,129.247434,35.938131,,,1,HLS,[국도 7호선] 북경주IC,http://cctvsec.ktict.co.kr/4073/M268AufmeBDH3b3SZmNTDa9UJ7zNcXbaVlcbc4+TR5Lw7zjgzzX4VAdWgag81qMmYhudzDfyf9JCMlam0TICo+wuirDs0CgKWuuwaj9mwIE=
	5	+3,,129.2471,35.93833,,,1,HLS,[국도20호선] 북경주IC,http://cctvsec.ktict.co.kr/72514/0MKsoRYUhMJ0i6Pj5VMsgGy0nnKlMrPL0zzGW9YVXbH6tUx6xxhbtodyXUUyz74/o7boIps3/GOvgYkJxgE6gysFpQqxlsmsiQfuZvpcz9w=
	6	+4,,129.2708,35.94363,,,1,HLS,[국도20호선] 천북산업단지,http://cctvsec.ktict.co.kr/72516/L2d9HFtI4iTlsZYWEy5F78R0ORKHtqHhAYQXMNNkOZRzdpkc2nS9AHsdlRdWOdRiuROpJ3V5NwupuvGfBphyMER3gD6yD8j0dk9InwUrG+E=
	7	+5,,129.29959,35.95008,,,1,HLS,[국도20호선] 왕신교차로,http://cctvsec.ktict.co.kr/75062/olvEosseU5qRSg20E6KMb9KQLYgkME2rO9ZaEViSp87qoQYaDBQmvOfyUQFjyzl2TvOpiqeN3xzA4iagFMFCsGCOx9kOufTF69kNBcTosOA=
	8	+6,,129.24908,35.97815,,,1,HLS,[국도7호선] 경주 강동과적검문소 부근,http://cctvsec.ktict.co.kr/72945/sUVhkrW9EegZT00WzWEblFw2Ynolb0ElVvKJo5QsJRzN+m3iG0XKn468y0yKzBC7F0vkNr6blidyV8lj5UZgcWzaR7hMCVlAzlDK2AfejM4=
	9	+7,,129.269177,35.983341,,,1,HLS,[국도 7호선] 강동IC,http://cctvsec.ktict.co.kr/4071/eCDLzCcOb35K6wou65+nYTCoaPVNPYEy29J3kEbgNROqEuQSrmATulzDlFpWx6TN01gMzDNAN8LyFvqh3iKGTg/7iTYTJima20V5mE8AiaY=
	10	+8,,129.253539,35.985587,,,1,HLS,[국도 7호선] 이제테크,http://cctvsec.ktict.co.kr/4460/Xr9+OT8IDnVd3oQUlaDZA3lOt2s5g+ywaS+YcJx3odTqmjeGYYS0CwqT009FfDKtYNEhYevoL/Q/FhyiyZHhzMx0qkRF3Tb5zrv+WIQUW3w=
	11	+9,,129.255853,35.988625,,,1,HLS,[국도 28호선] 인동삼거리,http://cctvsec.ktict.co.kr/5562/M0OpafuK8Rfe6cmxqH8YDT+kOGJ7ar9CACnZWQ5CarFbYgZAzXznW4rWZ9kA9joP/YN2skKgjMH9i481UOQ4XsicIgjQyY2kyW3e/vsTxxg=
	12	+10,,129.281389,35.991812,,,1,HLS,[국도 28호선] 유금IC,http://cctvsec.ktict.co.kr/4119/Fe3O/UIJ/0/CFersxMGgjIcBQrsqE+QycVYsNFOJUzdjom+H/VQHtM7T+q/p3gJO6mXY/ismWLgKc/edZUJvWBKuh5qsg3HqorQI8nZjKCU=
	13	+11,,129.2347,35.99271,,,1,HLS,[국도28호선] 안강교차로,http://cctvsec.ktict.co.kr/75045/hdWQ0L0qdextPv3KvTaxci4gcz/l3OyWVeH47bqgXu3pgrvkFMeXcm8Vf+4T/ODT/TXIGM6n10du/1/o2wmVQ5PUs2WDz6KPER7UaRQ0PLU=
	14	+12,,129.228436,35.998511,,,1,HLS,[국도 28호선] 안강IC,http://cctvsec.ktict.co.kr/5563/QVqzfXSeaD53r4lCGfnSOuHMML6jMqbBTwODdwZxwlcNVIoFRf6ByrMKZXGfgv99LlTNOYj5rDdpOfsCO24QhO05M+zvElXlJurEKnAhj3s=
	15	+13,,129.284657,36.016126,,,1,HLS,[국도 28호선] 위덕대학교 앞 삼거리,http://cctvsec.ktict.co.kr/4436/ya0JdV0uiCaqQ+lxSMDRG8PqKWq8vL9MuwjMfnRdIKL1PBWaPO/9d9CCcfF/8GTi2q8yJX78iuKL0yaPOKKLKfQedbCMUNOrKeQSt0LTPG0=
	16	+14,,129.293598,36.025038,,,1,HLS,[국도 28호선] 학전보건소 앞 교차로,http://cctvsec.ktict.co.kr/4434/S5CcFQ6maa0k5VCmIMdKf6yhgKzvCsGDv82B/Wo1BAHerYK7aiJkJrh1KPqc2hccABUGoir2OsnZJi72m/aqR/Fw0xgUftEfd6H3qP3R21I=
	17	+15,,129.293598,36.025038,,,1,HLS,[시연용] 침수구간,http://takensofttesting.iptime.org:54127(파일 끝에 줄바꿈 문자 없음)

d281369

7a64f89

config_files/cctv_list.csv

--- config_files/cctv_list.csv

+++ config_files/cctv_list.csv


-roadsectionid,coordx,coordy,cctvresolution,filecreatetime,cctvtype,cctvformat,cctvname,cctvurl
-,129.245312,35.920346,,,1,HLS,[국도 7호선] 모아초교,http://cctvsec.ktict.co.kr/4463/6SqphQj32sxeB2nYIMerulhkk0HdDKP/aSEgp7hHbUY9iwTDb+UQZfTbag9pXmM/yo3a7l1usm64GwBH77/SCVEel3JF3g9BZDc+ws1es2w=
-,129.2005,35.921825,,,1,HLS,[국도20호선] 검단산업단지,http://cctvsec.ktict.co.kr/71187/bWDrL7fpStZDeDZgCybpJH8gagWJOynbaA/l91ExpmUPKzc3bCsHJtIblDkzG3TfmkwkLj7+PPdYAHSYBXxem4SZJpaAYFU0CtDtr5rz7DY=
-,128.06396,36.047108,,,1,HLS,[국도3호선] 송죽교차로,http://cctvsec.ktict.co.kr/71208/Z9Acztz6CYwzuUXQFreRR0Kdewba8Ml4CNxR0Jsp9uSCWmvL9W/BO1w2XIPxtxs9kn58qVvtHREs6vU305JaRa40F1m/P6f13gpiz9C+46M=
-,128.2671,35.91457,,,1,HLS,[국도33호선] 대흥교차로,http://cctvsec.ktict.co.kr/72593/mTZfGWopuLSKGZsBABx2whdCW4FLmBl6wi4dCvp0MxMpKF6c6ydtf40G8dVXQcAGlDug1DIE/E4MVUyoa3UuD18aYxP6ZCMD5zISEiDxXTQ=
-,129.378721,36.310334,,,1,HLS,[국도 7호선] 영덕 구계휴게소,http://cctvsec.ktict.co.kr/4459/kAgktFah0VAtMosKMfrJ13d7CBLAa5+M1xhiLgsypRh5NDDIqY0Y7Z2+hkF88PZUhL1uFJTYshn/Afc4FCS67iWpGfxUOoNU8b0ul3flW8c=
-,129.37762,36.318485,,,1,HLS,"[국도7호선] 영덕 영덕구계항부근(마을주민,해안가)",http://cctvsec.ktict.co.kr/72957/LkVa3bIbXIBudmzokRTyNtAbqEoZCk+DHRZ8i6cs+rL6QIEM7Fv1N+wfJPjSFQOEmn+Sklz5M3zqnjyiuo6lcPORJsjpyig6wn11ZeH+h44=
-,129.381293,36.339985,,,1,HLS,[국도 7호선] 오션뷰C.C 앞 삼거리,http://cctvsec.ktict.co.kr/4475/0lZW6kXydguhfnjHZgPeVWi/UKIYrPrUGPfVDyXcGXynS/XFEaXHTYGgmLHdj6QwF1AcHSd6JRZnW+/Ecw30OL/L63URGEp3X/DJqKRrzR0=
-,129.3459,36.11983,,,1,HLS,[국도7호선] 곡강교,http://cctvsec.ktict.co.kr/71249/YZj8q/z+rpoz8wHUZGst7oMp01rLXrsqhKDnbcKcndono98hK4v5LXE3UumA35GOUC3vxTXsvCBdemtPt60aNJsGUbr+NNiMFUZXDoNutF8=
-,129.193728,35.762614,,,1,HLS,[국도7호선] 부지교차로,http://cctvsec.ktict.co.kr/72311/kdgcZLCWMjfPL2B06+sReFWMMB+6gW6i1XePhxb0jT/S3jhoQGFbl4nM8fnNunVxbfcv+gtwwve5/Alut8ExIXo8I9h3kV5tNjcqr2ai8d4=
-,129.200930555555,35.772125,,,1,HLS,[국도 35호선] 용장교,http://cctvsec.ktict.co.kr/5569/7Wk7xI0iDot4My7wDolq5X3jnW9Pgsp7eqT4fmbF1G1dWh248yZuO0r6DZGPJc0lFupmPdL6nCMDyuYljTRHmm7FxLfEMZ9OOKcycSLyHIk=
-,128.03166,36.011665,,,1,HLS,[국도3호선] 방산교,http://cctvsec.ktict.co.kr/72618/tJq3wZnEySy1HdQLbvzJhD6i+QrqP0HIopbzDMD/h21V/QmMVP26YJUOZsU9WnMsSrPMHfzgTP54irzJjPv+4kCcFJuqvRM63JNFmolU2tE=
+,roadsectionid,coordx,coordy,cctvresolution,filecreatetime,cctvtype,cctvformat,cctvname,cctvurl
+0,,129.2005,35.921825,,,1,HLS,[국도20호선] 검단산업단지,http://cctvsec.ktict.co.kr/71187/bWDrL7fpStZDeDZgCybpJH8gagWJOynbaA/l91ExpmUPKzc3bCsHJtIblDkzG3TfzYDsbNJ7zAQ90+zWILAitFHTEDoXZSOrzc2TRBV36hw=
+1,,129.22647,35.934418,,,1,HLS,[국도20호선] 사방교차로,http://cctvsec.ktict.co.kr/72512/t01+nKA14+X2qGEfUc0SO2WSOj3cPeKShgxB1TCkjNrFrv037BHl3V3nxo7jZxY4qq6hPbgWYVsQhFIo3L4nNOpujyf5mdvuklodth2GKZ4=
+2,,129.247434,35.938131,,,1,HLS,[국도 7호선] 북경주IC,http://cctvsec.ktict.co.kr/4073/M268AufmeBDH3b3SZmNTDa9UJ7zNcXbaVlcbc4+TR5Lw7zjgzzX4VAdWgag81qMmYhudzDfyf9JCMlam0TICo+wuirDs0CgKWuuwaj9mwIE=
+3,,129.2471,35.93833,,,1,HLS,[국도20호선] 북경주IC,http://cctvsec.ktict.co.kr/72514/0MKsoRYUhMJ0i6Pj5VMsgGy0nnKlMrPL0zzGW9YVXbH6tUx6xxhbtodyXUUyz74/o7boIps3/GOvgYkJxgE6gysFpQqxlsmsiQfuZvpcz9w=
+4,,129.2708,35.94363,,,1,HLS,[국도20호선] 천북산업단지,http://cctvsec.ktict.co.kr/72516/L2d9HFtI4iTlsZYWEy5F78R0ORKHtqHhAYQXMNNkOZRzdpkc2nS9AHsdlRdWOdRiuROpJ3V5NwupuvGfBphyMER3gD6yD8j0dk9InwUrG+E=
+5,,129.29959,35.95008,,,1,HLS,[국도20호선] 왕신교차로,http://cctvsec.ktict.co.kr/75062/olvEosseU5qRSg20E6KMb9KQLYgkME2rO9ZaEViSp87qoQYaDBQmvOfyUQFjyzl2TvOpiqeN3xzA4iagFMFCsGCOx9kOufTF69kNBcTosOA=
+6,,129.24908,35.97815,,,1,HLS,[국도7호선] 경주 강동과적검문소 부근,http://cctvsec.ktict.co.kr/72945/sUVhkrW9EegZT00WzWEblFw2Ynolb0ElVvKJo5QsJRzN+m3iG0XKn468y0yKzBC7F0vkNr6blidyV8lj5UZgcWzaR7hMCVlAzlDK2AfejM4=
+7,,129.269177,35.983341,,,1,HLS,[국도 7호선] 강동IC,http://cctvsec.ktict.co.kr/4071/eCDLzCcOb35K6wou65+nYTCoaPVNPYEy29J3kEbgNROqEuQSrmATulzDlFpWx6TN01gMzDNAN8LyFvqh3iKGTg/7iTYTJima20V5mE8AiaY=
+8,,129.255853,35.988625,,,1,HLS,[국도 28호선] 인동삼거리,http://cctvsec.ktict.co.kr/5562/M0OpafuK8Rfe6cmxqH8YDT+kOGJ7ar9CACnZWQ5CarFbYgZAzXznW4rWZ9kA9joP/YN2skKgjMH9i481UOQ4XsicIgjQyY2kyW3e/vsTxxg=
+9,,129.281389,35.991812,,,1,HLS,[국도 28호선] 유금IC,http://cctvsec.ktict.co.kr/4119/Fe3O/UIJ/0/CFersxMGgjIcBQrsqE+QycVYsNFOJUzdjom+H/VQHtM7T+q/p3gJO6mXY/ismWLgKc/edZUJvWBKuh5qsg3HqorQI8nZjKCU=
+10,,129.2347,35.99271,,,1,HLS,[국도28호선] 안강교차로,http://cctvsec.ktict.co.kr/75045/hdWQ0L0qdextPv3KvTaxci4gcz/l3OyWVeH47bqgXu3pgrvkFMeXcm8Vf+4T/ODT/TXIGM6n10du/1/o2wmVQ5PUs2WDz6KPER7UaRQ0PLU=
+11,,129.228436,35.998511,,,1,HLS,[국도 28호선] 안강IC,http://cctvsec.ktict.co.kr/5563/QVqzfXSeaD53r4lCGfnSOuHMML6jMqbBTwODdwZxwlcNVIoFRf6ByrMKZXGfgv99LlTNOYj5rDdpOfsCO24QhO05M+zvElXlJurEKnAhj3s=
+12,,129.284657,36.016126,,,1,HLS,[국도 28호선] 위덕대학교 앞 삼거리,http://cctvsec.ktict.co.kr/4436/ya0JdV0uiCaqQ+lxSMDRG8PqKWq8vL9MuwjMfnRdIKL1PBWaPO/9d9CCcfF/8GTi2q8yJX78iuKL0yaPOKKLKfQedbCMUNOrKeQSt0LTPG0=
+13,,129.293598,36.025038,,,1,HLS,[국도 28호선] 학전보건소 앞 교차로,http://cctvsec.ktict.co.kr/4434/S5CcFQ6maa0k5VCmIMdKf6yhgKzvCsGDv82B/Wo1BAHerYK7aiJkJrh1KPqc2hccABUGoir2OsnZJi72m/aqR/Fw0xgUftEfd6H3qP3R21I=
+14,,129.253539,35.985587,,,1,HLS,[국도 7호선] 이제테크,http://cctvsec.ktict.co.kr/4460/Xr9+OT8IDnVd3oQUlaDZA3lOt2s5g+ywaS+YcJx3odTqmjeGYYS0CwqT009FfDKtFgV6olzg/psZgALZ323EbzifPbYXpu9ykHWFxrvfiFU=
+15,,129.255853,35.988625,,,1,HLS,[국도 28호선] 인동삼거리,http://cctvsec.ktict.co.kr/5562/M0OpafuK8Rfe6cmxqH8YDT+kOGJ7ar9CACnZWQ5CarFbYgZAzXznW4rWZ9kA9joPAzR9/9ysDMzUxjFRa5U0ReMp9+7oogtA3cKDi6vUDRs=
+16,,128.731178,35.789061,,,1,HLS,[국도25호선] 협석교,http://cctvsec.ktict.co.kr/74022/hHOIJ9u/upxrPh+MUCp/g1QO+AX5Ml22KZMIeYARDDFErSactLSf8sM+UwRqybIUhZiM34aH+vm77QLuaXEznuT2Hynw0Y46cNWZ2tqR/T0=

7a64f89

hls_streaming_collect_cctvs.py (added)

+++ hls_streaming_collect_cctvs.py

...	...	@@ -0,0 +1,39 @@
	1	+from ITS.api import gather_cctv_list
	2	+from hls_streaming.hls import FrameCapturer
	3	+from time import sleep
	4	+import threading
	5	+from time import sleep
	6	+import pandas as pd
	7	+
	8	+def manage_capturer():
	9	+ # cctv_list1 = pd.read_csv("ITS/list/125_130_y33_39.csv")
	10	+ cctv_list = pd.read_csv("ITS/list/128.07439272_130.909268695_y35.635147801_37.497349441_its.csv")
	11	+ # cctv_list = pd.concat((cctv_list1, cctv_list2))
	12	+
	13	+ cctv_list = cctv_list.sample(frac=1).reset_index(drop=True)
	14	+
	15	+ cctv_list_name = cctv_list['cctvname']
	16	+ cctv_list_url = cctv_list['cctvurl']
	17	+
	18	+ for (name, url) in zip(cctv_list_name, cctv_list_url):
	19	+ try:
	20	+ frame_cap = FrameCapturer(url, name, "_", "_")
	21	+ frame_cap.start()
	22	+ sleep(50)
	23	+ frame_cap.stop()
	24	+ sleep(60)
	25	+ except:
	26	+ continue
	27	+
	28	+
	29	+# Create threads for the first 10 capturers (assuming there are at least 10)
	30	+threads = [threading.Thread(target=manage_capturer) for _ in range(3)]
	31	+
	32	+# Start all threads
	33	+for thread in threads:
	34	+ thread.start()
	35	+ sleep(1)
	36	+
	37	+# Wait for all threads to finish
	38	+for thread in threads:
	39	+ thread.join()(파일 끝에 줄바꿈 문자 없음)

d281369

7a64f89

run_image_anal_backend.sh

--- run_image_anal_backend.sh

+++ run_image_anal_backend.sh


 PYTHONPATH="/home/juni/PycharmProjects/segmentation_overlapping"
 
 # Start multiple Python processes in the background
-python streaming_process.py --cctv_num 0 &
-pids+=($!)
-sleep 1
-python streaming_process.py --cctv_num 1 &
-pids+=($!)
-sleep 1
+#python streaming_process.py --cctv_num 0 &
+#pids+=($!)
+#sleep 5
+#python streaming_process.py --cctv_num 1 &
+#pids+=($!)
+#sleep 5
 python streaming_process.py --cctv_num 2 &
 pids+=($!)
-sleep 1
-python streaming_process.py --cctv_num 3 &
+sleep 5
+#python streaming_process.py --cctv_num 3 &
+#pids+=($!)
+#sleep 30
+#python streaming_process.py --cctv_num 4 &
+#pids+=($!)
+#sleep 30
+python streaming_process.py --cctv_num 14 &
 pids+=($!)
 sleep 1
-python streaming_process.py --cctv_num 4 &
-pids+=($!)
-sleep 1
-python streaming_process.py --cctv_num 5 &
-pids+=($!)
-sleep 1
-python streaming_process.py --cctv_num 6 &
-pids+=($!)
+#python streaming_process.py --cctv_num 15 &
+#pids+=($!)
+#sleep 1
+#python streaming_process.py --cctv_num 8 &
+#pids+=($!)
+#sleep 30
+#python streaming_process.py --cctv_num 13 &
+#pids+=($!)
+
 
 #python test.py
 #python inference_endpoint.py

d281369

7a64f89

streaming_process.py

--- streaming_process.py

+++ streaming_process.py


             xmax=lat + lat_lon_interval, ymax=lon + lat_lon_interval,
             intervals=1, roadType="its", cctvType=1
         )
+        print(api_result.loc[0]["cctvurl"])
         return api_result.loc[0]["cctvurl"]
 
     args = argparse.ArgumentParser()

 
     cctv_info = pd.read_csv("config_files/cctv_list.csv")
     cctv_info = cctv_info.iloc[cctv_ind]
+    print(cctv_info)
 
     lat = cctv_info["coordx"]
     lon = cctv_info["coordy"]

7a64f89

streaming_process_flood_demonstration.py (added)

+++ streaming_process_flood_demonstration.py

...	...	@@ -0,0 +1,66 @@
	1	+# This script only works if this is the main process.
	2	+# This script must be executed with bash script that is located in the root directory of this project
	3	+# This is by design, and is a way to circumvent GIL of python, because the server needs to handle multiple video streaming at once.
	4	+
	5	+if __name__ == "__main__":
	6	+ from ITS.api import gather_cctv_list
	7	+ from hls_streaming.hls import FrameCapturer
	8	+
	9	+ import argparse
	10	+ import pandas as pd
	11	+ import time
	12	+
	13	+
	14	+ def refresh_hls_address(lat, lon, lat_lon_interval=0.0001):
	15	+ api_result = gather_cctv_list(
	16	+ xmin=lat - lat_lon_interval, ymin=lon - lat_lon_interval,
	17	+ xmax=lat + lat_lon_interval, ymax=lon + lat_lon_interval,
	18	+ intervals=1, roadType="its", cctvType=1
	19	+ )
	20	+ print(api_result.loc[0]["cctvurl"])
	21	+ return api_result.loc[0]["cctvurl"]
	22	+
	23	+ args = argparse.ArgumentParser()
	24	+ args.add_argument("--cctv_num", type=int,
	25	+ help="Index number of cctv, to view or edit the list of cctv, see cctv_list.csv")
	26	+ args.add_argument("--interval", type=float, default=5,
	27	+ help="Interval of frame extract of the process, unit is second, default is 5 seconds")
	28	+ args.add_argument("--video_buffer", type=float, default=15,
	29	+ help="How may seconds of video frame buffer will be there, "
	30	+ "default value is 15 seconds, which matches ITS video streaming packet response interval")
	31	+
	32	+ args = args.parse_args()
	33	+
	34	+ # This is a must, because if you refer to variables inside args directly,
	35	+ # when ERROR happens out of that variables or related, python can not
	36	+ # direct you to where it happens and instead unintelligible garbage
	37	+ cctv_ind = args.cctv_num
	38	+ frame_extract_interval = args.interval
	39	+ video_buffer = args.video_buffer
	40	+
	41	+ cctv_info = pd.read_csv("config_files/cctv_list.csv")
	42	+ cctv_info = cctv_info.iloc[cctv_ind]
	43	+ print(cctv_info)
	44	+
	45	+
	46	+ lat = 37.127277
	47	+ lon = 127.067114
	48	+ name = "[국도1] 평택 갈곶리삼거리"
	49	+ if name.find("국도"):
	50	+ roadtype = 'its'
	51	+ else:
	52	+ roadtype = 'ex'
	53	+
	54	+ # initiate ITS CCTV streaming via hls
	55	+ while True:
	56	+
	57	+ # cctv_url = refresh_hls_address(lat, lon, )
	58	+ cctv_url = "http://takensofttesting.iptime.org:54127/hls/playlist.m3u8"
	59	+ print(name)
	60	+ hls_streaming = FrameCapturer(cctv_url, name, lat, lon, frame_extract_interval, video_buffer, 300, "Asia/Seoul",
	61	+ endpoint= "http://localhost:12345/cctv/infer")
	62	+ hls_streaming.start()
	63	+
	64	+ time.sleep(60000)
	65	+
	66	+ hls_streaming.stop()

d281369

7a64f89

streaming_url_updator.py

--- streaming_url_updator.py

+++ streaming_url_updator.py


 from apscheduler.triggers.interval import IntervalTrigger
 
 
-API_ENDPOINT = "http://165.229.169.148:8080/EquipmentUrlChanger.json"
+API_ENDPOINT = "http://165.229.169.113:30213/EquipmentUrlChanger.json"
 
 app = Flask(__name__)
 print("ITS API Updater START")

     #, ensure_ascii=False) # the server in question is not using UTF-8, change it when it does.
     response = requests.post(API_ENDPOINT, headers=headers, data=payload)
     print_request(response)
+    print("new url sented!")
+
 
 url_list_sender()
 scheduler = BackgroundScheduler()

d281369

7a64f89

testing.html

--- testing.html

+++ testing.html


     <style>
         body {
             font-family: Arial, sans-serif;
-            display: flex;
-            flex-direction: column;
-            height: 100vh;
             margin: 0;
         }
         .header {

             top: 0;
             z-index: 1;
         }
+        #buttonContainer {
+            position: fixed;
+            top: 105px; /* Just below the header */
+            width: 100%;
+            display: flex;
+            justify-content: center;
+            z-index: 2; /* Ensure it appears above other content */
+            background-color: white; /* Make the background white to cover content when scrolling */
+            padding: 10px;
+        }
+        #processButton, #clearButton, #imageInput {
+            background-color: #1E4E90;
+            color: white;
+            border: none;
+            padding: 10px 20px;
+            font-size: 16px;
+            cursor: pointer;
+            margin: 0 10px; /* Add margin between buttons */
+        }
+        #processButton:hover, #clearButton:hover {
+            background-color: #163a6e;
+        }
         .container {
             text-align: center;
-            margin-top: 100px; /* .header의 높이 만큼 여백 추가 */
+            margin-top: 150px; /* Add margin to push content below the fixed buttons */
         }
         #preview img {
             max-width: 100%;
             height: auto;
             margin-top: 20px;
-        }
-        #processButton {
-            background-color: #1E4E90;
-            color: white;
-            border: none;
-            padding: 10px 20px;
-            text-align: center;
-            text-decoration: none;
-            display: inline-block;
-            font-size: 16px;
-            margin-top: 20px;
-            cursor: pointer;
-        }
-        #processButton:hover {
-            background-color: #1E4E90;
         }
         #copyright {
             background-color: #f1f1f1;

             justify-content: center;
             height: 100vh;
         }
-        #messageContainer div{
-            margin-top:30px;
+        #messageContainer div {
+            margin-top: 30px;
         }
     </style>
 </head>

     <div class="header">
         <h1>침수감지모델 테스트도구</h1>
     </div>
-    <div class="container">
-        <div id="preview"></div>
+
+    <!-- Button Container (file input, process, clear) -->
+    <div id="buttonContainer">
         <input type="file" id="imageInput">
         <button id="processButton">이미지 처리</button>
-        <button id="clearButton">Clear</button> <!-- Clear 버튼 추가 -->
+        <button id="clearButton">Clear</button>
+    </div>
 
+    <!-- Content Area -->
+    <div class="container">
+        <div id="preview"></div>
     </div>
     <div id="messageContainer"></div>
 

         const fileInput = document.getElementById('imageInput');
         const processButton = document.getElementById('processButton');
         const preview = document.getElementById('preview');
-        const messageContainer = document.getElementById('messageContainer'); // 메시지를 담을 컨테이너 추가
+        const messageContainer = document.getElementById('messageContainer');
+        const clearButton = document.getElementById('clearButton');
 
         clearButton.addEventListener('click', function() {
-            // 메시지 컨테이너의 내용을 비움
             preview.innerHTML = '';
             messageContainer.innerHTML = '';
         });
+
         fileInput.addEventListener('change', function(event) {
             const file = event.target.files[0];
             const reader = new FileReader();
 
             reader.onloadend = function() {
-                // 이미지 미리보기를 생성하여 화면에 표시
                 const img = new Image();
                 img.src = reader.result;
-                img.style.width = '1080px'; // 미리보기 이미지의 너비 조절
-                preview.innerHTML = ''; // 이전 미리보기 삭제
-                preview.appendChild(img); // 새로운 미리보기 추가
+                img.style.width = '1080px';
+                preview.innerHTML = '';
+                preview.appendChild(img);
 
-                // 파일 정보를 기반으로 FormData를 생성하여 서버에 전송할 준비
                 const formData = new FormData();
-                formData.append('file', file); // 이미지 파일을 FormData에 추가
+                formData.append('file', file);
 
-                const LAT = "36.123"; // Replace with the actual latitude value
-                const LON = "123.123"; // Replace with the actual longitude value
-                const FILENAME = file.name; // Use the selected file's name as the filename
-                const FILE_TYPE = file.type; // Use the selected file's type as the file type
-
-                // 여기서 formData와 FILENAME, FILE_TYPE을 이용하여 서버에 요청을 보내면 됩니다.
-                // ...
+                const LAT = "36.123";
+                const LON = "123.123";
+                const FILENAME = file.name;
+                const FILE_TYPE = file.type;
             };
 
             if (file) {

             const file = fileInput.files[0];
 
             if (file) {
-
-                const LAT = "36.123"; // Replace with the actual latitude value
-                const LON = "123.123"; // Replace with the actual longitude value
-                const FILENAME = file.name; // Use the selected file's name as the filename
-                const FILE_TYPE = file.type; // Use the selected file's type as the file type
+                const LAT = "36.123";
+                const LON = "123.123";
+                const FILENAME = file.name;
+                const FILE_TYPE = file.type;
                 const formData = new FormData();
                 formData.append("data", JSON.stringify({ gps_x: LAT, gps_y: LON, filename: FILENAME, file_type: FILE_TYPE }));
                 const previewBlob = await fetch(preview.querySelector('img').src).then(res => res.blob());
-                formData.append('file', previewBlob, FILENAME); // Blob 객체와 원래 파일 이름을 전송
-            
-            
+                formData.append('file', previewBlob, FILENAME);
 
                 try {
-                    const URL = "http://127.0.0.1:12345/cctv/infer"; // Replace with the actual server URL
+                    const URL = "http://127.0.0.1:12345/cctv/infer";
                     const response = await fetch(URL, {
                         method: "POST",
                         body: formData
                     });
-            
-                    if (response.ok) {
-                        const data = await response.json();
-                        console.log(data); // 서버에서 받은 응답 처리
-            
-                        // data 객체에서 rain이 true인 경우 메시지 표시
-                        if (data.rain === true) {
-                            const message = document.createElement('div');
-                            message.textContent = '비 사진 감지되었습니다.';
-                            messageContainer.innerHTML = ''; // 기존 메시지 삭제
-                            messageContainer.appendChild(message); // 새로운 메시지 추가
-                        } else {
-                            const message = document.createElement('div');
-                            message.textContent = '일반 사진 감지되었습니다.';
-                            messageContainer.innerHTML = ''; // 기존 메시지 삭제
-                            messageContainer.appendChild(message); // 새로운 메시지 추가
-                        }
-                    } else {
-                        console.error("Error occurred while sending the request:", response.statusText);
-                    }
+
                 } catch (error) {
                     console.error("Error occurred:", error);
                 }

                 console.error("No file selected.");
             }
         });
-
-
     </script>
 </body>
-</html>
+</html>

d281369

7a64f89

yoloseg/inference_gpu_.py

--- yoloseg/inference_gpu_.py

+++ yoloseg/inference_gpu_.py


         # Show the processed frame
         # cv2.imshow('Processed Frame', resized_frame)
         # # Save the processed frame
-        # output_frame_path = os.path.join(output_dir, f"frame_{frame_count}.jpg")
-        # cv2.imwrite(output_frame_path, resized_frame)
+        output_frame_path = os.path.join(output_dir, f"frame_{frame_count}.jpg")
+        cv2.imwrite(output_frame_path, resized_frame)
 
         t2 = time.time()
         frame_time = t2 - t1

 if __name__ == "__main__":
     # test()
 
-    process_video("/home/juni/사진/flood/test_video.mp4", "./")
+    process_video("/home/juni/사진/flood/test_video.mp4", "/home/juni/사진/flood/infer/")

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List

...	...	@@ -84,7 +84,7 @@
84	84	# df.to_csv(f"result/pohang/listofcctv_포항_{x}_{y}.csv", index=False)
85	85	time.sleep(1)
86	86	print(f"{i}, {j}")
87		- all_data_df.to_csv(f"ITS/list/{xmin}_{xmax}_y{ymin}_{ymax}.csv")
	87	+ all_data_df.to_csv(f"ITS/list/{xmin}_{xmax}_y{ymin}_{ymax}_its.csv")
88	88	return all_data_df
89	89
90	90	def get_jpeg(url):
...	...	@@ -96,6 +96,6 @@
96	96
97	97
98	98	if __name__ == "__main__":
99		- df = gather_cctv_list(125, 130, 33, 39, 2, "ex", 1)
	99	+ df = gather_cctv_list(128.074392720, 130.909268695, 35.635147801,37.497349441, 2, "its", 1)
100	100	pass
101	101	# get_jpeg("http://cctvsec.ktict.co.kr:8090/74236/IM2NQs4/uHZcgnvJo3V/mjo3tswwgUj87kpcYZfR/BPxaQ4lk9agnl8ARIB9lhlgOD87VBx6RDHFl423kLkqHQ==") (파일 끝에 줄바꿈 문자 없음)

...	...	@@ -1,12 +1,18 @@
1		-roadsectionid,coordx,coordy,cctvresolution,filecreatetime,cctvtype,cctvformat,cctvname,cctvurl
2		-,129.245312,35.920346,,,1,HLS,[국도 7호선] 모아초교,http://cctvsec.ktict.co.kr/4463/6SqphQj32sxeB2nYIMerulhkk0HdDKP/aSEgp7hHbUY9iwTDb+UQZfTbag9pXmM/yo3a7l1usm64GwBH77/SCVEel3JF3g9BZDc+ws1es2w=
3		-,129.2005,35.921825,,,1,HLS,[국도20호선] 검단산업단지,http://cctvsec.ktict.co.kr/71187/bWDrL7fpStZDeDZgCybpJH8gagWJOynbaA/l91ExpmUPKzc3bCsHJtIblDkzG3TfmkwkLj7+PPdYAHSYBXxem4SZJpaAYFU0CtDtr5rz7DY=
4		-,128.06396,36.047108,,,1,HLS,[국도3호선] 송죽교차로,http://cctvsec.ktict.co.kr/71208/Z9Acztz6CYwzuUXQFreRR0Kdewba8Ml4CNxR0Jsp9uSCWmvL9W/BO1w2XIPxtxs9kn58qVvtHREs6vU305JaRa40F1m/P6f13gpiz9C+46M=
5		-,128.2671,35.91457,,,1,HLS,[국도33호선] 대흥교차로,http://cctvsec.ktict.co.kr/72593/mTZfGWopuLSKGZsBABx2whdCW4FLmBl6wi4dCvp0MxMpKF6c6ydtf40G8dVXQcAGlDug1DIE/E4MVUyoa3UuD18aYxP6ZCMD5zISEiDxXTQ=
6		-,129.378721,36.310334,,,1,HLS,[국도 7호선] 영덕 구계휴게소,http://cctvsec.ktict.co.kr/4459/kAgktFah0VAtMosKMfrJ13d7CBLAa5+M1xhiLgsypRh5NDDIqY0Y7Z2+hkF88PZUhL1uFJTYshn/Afc4FCS67iWpGfxUOoNU8b0ul3flW8c=
7		-,129.37762,36.318485,,,1,HLS,"[국도7호선] 영덕 영덕구계항부근(마을주민,해안가)",http://cctvsec.ktict.co.kr/72957/LkVa3bIbXIBudmzokRTyNtAbqEoZCk+DHRZ8i6cs+rL6QIEM7Fv1N+wfJPjSFQOEmn+Sklz5M3zqnjyiuo6lcPORJsjpyig6wn11ZeH+h44=
8		-,129.381293,36.339985,,,1,HLS,[국도 7호선] 오션뷰C.C 앞 삼거리,http://cctvsec.ktict.co.kr/4475/0lZW6kXydguhfnjHZgPeVWi/UKIYrPrUGPfVDyXcGXynS/XFEaXHTYGgmLHdj6QwF1AcHSd6JRZnW+/Ecw30OL/L63URGEp3X/DJqKRrzR0=
9		-,129.3459,36.11983,,,1,HLS,[국도7호선] 곡강교,http://cctvsec.ktict.co.kr/71249/YZj8q/z+rpoz8wHUZGst7oMp01rLXrsqhKDnbcKcndono98hK4v5LXE3UumA35GOUC3vxTXsvCBdemtPt60aNJsGUbr+NNiMFUZXDoNutF8=
10		-,129.193728,35.762614,,,1,HLS,[국도7호선] 부지교차로,http://cctvsec.ktict.co.kr/72311/kdgcZLCWMjfPL2B06+sReFWMMB+6gW6i1XePhxb0jT/S3jhoQGFbl4nM8fnNunVxbfcv+gtwwve5/Alut8ExIXo8I9h3kV5tNjcqr2ai8d4=
11		-,129.200930555555,35.772125,,,1,HLS,[국도 35호선] 용장교,http://cctvsec.ktict.co.kr/5569/7Wk7xI0iDot4My7wDolq5X3jnW9Pgsp7eqT4fmbF1G1dWh248yZuO0r6DZGPJc0lFupmPdL6nCMDyuYljTRHmm7FxLfEMZ9OOKcycSLyHIk=
12		-,128.03166,36.011665,,,1,HLS,[국도3호선] 방산교,http://cctvsec.ktict.co.kr/72618/tJq3wZnEySy1HdQLbvzJhD6i+QrqP0HIopbzDMD/h21V/QmMVP26YJUOZsU9WnMsSrPMHfzgTP54irzJjPv+4kCcFJuqvRM63JNFmolU2tE=
	1	+,roadsectionid,coordx,coordy,cctvresolution,filecreatetime,cctvtype,cctvformat,cctvname,cctvurl
	2	+0,,129.2005,35.921825,,,1,HLS,[국도20호선] 검단산업단지,http://cctvsec.ktict.co.kr/71187/bWDrL7fpStZDeDZgCybpJH8gagWJOynbaA/l91ExpmUPKzc3bCsHJtIblDkzG3TfzYDsbNJ7zAQ90+zWILAitFHTEDoXZSOrzc2TRBV36hw=
	3	+1,,129.22647,35.934418,,,1,HLS,[국도20호선] 사방교차로,http://cctvsec.ktict.co.kr/72512/t01+nKA14+X2qGEfUc0SO2WSOj3cPeKShgxB1TCkjNrFrv037BHl3V3nxo7jZxY4qq6hPbgWYVsQhFIo3L4nNOpujyf5mdvuklodth2GKZ4=
	4	+2,,129.247434,35.938131,,,1,HLS,[국도 7호선] 북경주IC,http://cctvsec.ktict.co.kr/4073/M268AufmeBDH3b3SZmNTDa9UJ7zNcXbaVlcbc4+TR5Lw7zjgzzX4VAdWgag81qMmYhudzDfyf9JCMlam0TICo+wuirDs0CgKWuuwaj9mwIE=
	5	+3,,129.2471,35.93833,,,1,HLS,[국도20호선] 북경주IC,http://cctvsec.ktict.co.kr/72514/0MKsoRYUhMJ0i6Pj5VMsgGy0nnKlMrPL0zzGW9YVXbH6tUx6xxhbtodyXUUyz74/o7boIps3/GOvgYkJxgE6gysFpQqxlsmsiQfuZvpcz9w=
	6	+4,,129.2708,35.94363,,,1,HLS,[국도20호선] 천북산업단지,http://cctvsec.ktict.co.kr/72516/L2d9HFtI4iTlsZYWEy5F78R0ORKHtqHhAYQXMNNkOZRzdpkc2nS9AHsdlRdWOdRiuROpJ3V5NwupuvGfBphyMER3gD6yD8j0dk9InwUrG+E=
	7	+5,,129.29959,35.95008,,,1,HLS,[국도20호선] 왕신교차로,http://cctvsec.ktict.co.kr/75062/olvEosseU5qRSg20E6KMb9KQLYgkME2rO9ZaEViSp87qoQYaDBQmvOfyUQFjyzl2TvOpiqeN3xzA4iagFMFCsGCOx9kOufTF69kNBcTosOA=
	8	+6,,129.24908,35.97815,,,1,HLS,[국도7호선] 경주 강동과적검문소 부근,http://cctvsec.ktict.co.kr/72945/sUVhkrW9EegZT00WzWEblFw2Ynolb0ElVvKJo5QsJRzN+m3iG0XKn468y0yKzBC7F0vkNr6blidyV8lj5UZgcWzaR7hMCVlAzlDK2AfejM4=
	9	+7,,129.269177,35.983341,,,1,HLS,[국도 7호선] 강동IC,http://cctvsec.ktict.co.kr/4071/eCDLzCcOb35K6wou65+nYTCoaPVNPYEy29J3kEbgNROqEuQSrmATulzDlFpWx6TN01gMzDNAN8LyFvqh3iKGTg/7iTYTJima20V5mE8AiaY=
	10	+8,,129.255853,35.988625,,,1,HLS,[국도 28호선] 인동삼거리,http://cctvsec.ktict.co.kr/5562/M0OpafuK8Rfe6cmxqH8YDT+kOGJ7ar9CACnZWQ5CarFbYgZAzXznW4rWZ9kA9joP/YN2skKgjMH9i481UOQ4XsicIgjQyY2kyW3e/vsTxxg=
	11	+9,,129.281389,35.991812,,,1,HLS,[국도 28호선] 유금IC,http://cctvsec.ktict.co.kr/4119/Fe3O/UIJ/0/CFersxMGgjIcBQrsqE+QycVYsNFOJUzdjom+H/VQHtM7T+q/p3gJO6mXY/ismWLgKc/edZUJvWBKuh5qsg3HqorQI8nZjKCU=
	12	+10,,129.2347,35.99271,,,1,HLS,[국도28호선] 안강교차로,http://cctvsec.ktict.co.kr/75045/hdWQ0L0qdextPv3KvTaxci4gcz/l3OyWVeH47bqgXu3pgrvkFMeXcm8Vf+4T/ODT/TXIGM6n10du/1/o2wmVQ5PUs2WDz6KPER7UaRQ0PLU=
	13	+11,,129.228436,35.998511,,,1,HLS,[국도 28호선] 안강IC,http://cctvsec.ktict.co.kr/5563/QVqzfXSeaD53r4lCGfnSOuHMML6jMqbBTwODdwZxwlcNVIoFRf6ByrMKZXGfgv99LlTNOYj5rDdpOfsCO24QhO05M+zvElXlJurEKnAhj3s=
	14	+12,,129.284657,36.016126,,,1,HLS,[국도 28호선] 위덕대학교 앞 삼거리,http://cctvsec.ktict.co.kr/4436/ya0JdV0uiCaqQ+lxSMDRG8PqKWq8vL9MuwjMfnRdIKL1PBWaPO/9d9CCcfF/8GTi2q8yJX78iuKL0yaPOKKLKfQedbCMUNOrKeQSt0LTPG0=
	15	+13,,129.293598,36.025038,,,1,HLS,[국도 28호선] 학전보건소 앞 교차로,http://cctvsec.ktict.co.kr/4434/S5CcFQ6maa0k5VCmIMdKf6yhgKzvCsGDv82B/Wo1BAHerYK7aiJkJrh1KPqc2hccABUGoir2OsnZJi72m/aqR/Fw0xgUftEfd6H3qP3R21I=
	16	+14,,129.253539,35.985587,,,1,HLS,[국도 7호선] 이제테크,http://cctvsec.ktict.co.kr/4460/Xr9+OT8IDnVd3oQUlaDZA3lOt2s5g+ywaS+YcJx3odTqmjeGYYS0CwqT009FfDKtFgV6olzg/psZgALZ323EbzifPbYXpu9ykHWFxrvfiFU=
	17	+15,,129.255853,35.988625,,,1,HLS,[국도 28호선] 인동삼거리,http://cctvsec.ktict.co.kr/5562/M0OpafuK8Rfe6cmxqH8YDT+kOGJ7ar9CACnZWQ5CarFbYgZAzXznW4rWZ9kA9joPAzR9/9ysDMzUxjFRa5U0ReMp9+7oogtA3cKDi6vUDRs=
	18	+16,,128.731178,35.789061,,,1,HLS,[국도25호선] 협석교,http://cctvsec.ktict.co.kr/74022/hHOIJ9u/upxrPh+MUCp/g1QO+AX5Ml22KZMIeYARDDFErSactLSf8sM+UwRqybIUhZiM34aH+vm77QLuaXEznuT2Hynw0Y46cNWZ2tqR/T0=

...	...	@@ -6,26 +6,33 @@
6	6	PYTHONPATH="/home/juni/PycharmProjects/segmentation_overlapping"
7	7
8	8	# Start multiple Python processes in the background
9		-python streaming_process.py --cctv_num 0 &
10		-pids+=($!)
11		-sleep 1
12		-python streaming_process.py --cctv_num 1 &
13		-pids+=($!)
14		-sleep 1
	9	+#python streaming_process.py --cctv_num 0 &
	10	+#pids+=($!)
	11	+#sleep 5
	12	+#python streaming_process.py --cctv_num 1 &
	13	+#pids+=($!)
	14	+#sleep 5
15	15	python streaming_process.py --cctv_num 2 &
16	16	pids+=($!)
17		-sleep 1
18		-python streaming_process.py --cctv_num 3 &
	17	+sleep 5
	18	+#python streaming_process.py --cctv_num 3 &
	19	+#pids+=($!)
	20	+#sleep 30
	21	+#python streaming_process.py --cctv_num 4 &
	22	+#pids+=($!)
	23	+#sleep 30
	24	+python streaming_process.py --cctv_num 14 &
19	25	pids+=($!)
20	26	sleep 1
21		-python streaming_process.py --cctv_num 4 &
22		-pids+=($!)
23		-sleep 1
24		-python streaming_process.py --cctv_num 5 &
25		-pids+=($!)
26		-sleep 1
27		-python streaming_process.py --cctv_num 6 &
28		-pids+=($!)
	27	+#python streaming_process.py --cctv_num 15 &
	28	+#pids+=($!)
	29	+#sleep 1
	30	+#python streaming_process.py --cctv_num 8 &
	31	+#pids+=($!)
	32	+#sleep 30
	33	+#python streaming_process.py --cctv_num 13 &
	34	+#pids+=($!)
	35	+
29	36
30	37	#python test.py
31	38	#python inference_endpoint.py

...	...	@@ -17,6 +17,7 @@
17	17	xmax=lat + lat_lon_interval, ymax=lon + lat_lon_interval,
18	18	intervals=1, roadType="its", cctvType=1
19	19	)
	20	+ print(api_result.loc[0]["cctvurl"])
20	21	return api_result.loc[0]["cctvurl"]
21	22
22	23	args = argparse.ArgumentParser()
...	...	@@ -39,6 +40,7 @@
39	40
40	41	cctv_info = pd.read_csv("config_files/cctv_list.csv")
41	42	cctv_info = cctv_info.iloc[cctv_ind]
	43	+ print(cctv_info)
42	44
43	45	lat = cctv_info["coordx"]
44	46	lon = cctv_info["coordy"]

...	...	@@ -11,7 +11,7 @@
11	11	from apscheduler.triggers.interval import IntervalTrigger
12	12
13	13
14		-API_ENDPOINT = "http://165.229.169.148:8080/EquipmentUrlChanger.json"
	14	+API_ENDPOINT = "http://165.229.169.113:30213/EquipmentUrlChanger.json"
15	15
16	16	app = Flask(__name__)
17	17	print("ITS API Updater START")
...	...	@@ -52,6 +52,8 @@
52	52	#, ensure_ascii=False) # the server in question is not using UTF-8, change it when it does.
53	53	response = requests.post(API_ENDPOINT, headers=headers, data=payload)
54	54	print_request(response)
	55	+ print("new url sented!")
	56	+
55	57
56	58	url_list_sender()
57	59	scheduler = BackgroundScheduler()

...	...	@@ -7,9 +7,6 @@
7	7	<style>
8	8	body {
9	9	font-family: Arial, sans-serif;
10		- display: flex;
11		- flex-direction: column;
12		- height: 100vh;
13	10	margin: 0;
14	11	}
15	12	.header {
...	...	@@ -22,29 +19,36 @@
22	19	top: 0;
23	20	z-index: 1;
24	21	}
	22	+ #buttonContainer {
	23	+ position: fixed;
	24	+ top: 105px; /* Just below the header */
	25	+ width: 100%;
	26	+ display: flex;
	27	+ justify-content: center;
	28	+ z-index: 2; /* Ensure it appears above other content */
	29	+ background-color: white; /* Make the background white to cover content when scrolling */
	30	+ padding: 10px;
	31	+ }
	32	+ #processButton, #clearButton, #imageInput {
	33	+ background-color: #1E4E90;
	34	+ color: white;
	35	+ border: none;
	36	+ padding: 10px 20px;
	37	+ font-size: 16px;
	38	+ cursor: pointer;
	39	+ margin: 0 10px; /* Add margin between buttons */
	40	+ }
	41	+ #processButton:hover, #clearButton:hover {
	42	+ background-color: #163a6e;
	43	+ }
25	44	.container {
26	45	text-align: center;
27		- margin-top: 100px; /* .header의 높이 만큼 여백 추가 */
	46	+ margin-top: 150px; /* Add margin to push content below the fixed buttons */
28	47	}
29	48	#preview img {
30	49	max-width: 100%;
31	50	height: auto;
32	51	margin-top: 20px;
33		- }
34		- #processButton {
35		- background-color: #1E4E90;
36		- color: white;
37		- border: none;
38		- padding: 10px 20px;
39		- text-align: center;
40		- text-decoration: none;
41		- display: inline-block;
42		- font-size: 16px;
43		- margin-top: 20px;
44		- cursor: pointer;
45		- }
46		- #processButton:hover {
47		- background-color: #1E4E90;
48	52	}
49	53	#copyright {
50	54	background-color: #f1f1f1;
...	...	@@ -59,8 +63,8 @@
59	63	justify-content: center;
60	64	height: 100vh;
61	65	}
62		- #messageContainer div{
63		- margin-top:30px;
	66	+ #messageContainer div {
	67	+ margin-top: 30px;
64	68	}
65	69	</style>
66	70	</head>
...	...	@@ -68,12 +72,17 @@
68	72	<div class="header">
69	73	<h1>침수감지모델 테스트도구</h1>
70	74	</div>
71		- <div class="container">
72		- <div id="preview"></div>
	75	+
	76	+ <!-- Button Container (file input, process, clear) -->
	77	+ <div id="buttonContainer">
73	78	<input type="file" id="imageInput">
74	79	<button id="processButton">이미지 처리</button>
75		- <button id="clearButton">Clear</button> <!-- Clear 버튼 추가 -->
	80	+ <button id="clearButton">Clear</button>
	81	+ </div>
76	82
	83	+ <!-- Content Area -->
	84	+ <div class="container">
	85	+ <div id="preview"></div>
77	86	</div>
78	87	<div id="messageContainer"></div>
79	88
...	...	@@ -85,36 +94,32 @@
85	94	const fileInput = document.getElementById('imageInput');
86	95	const processButton = document.getElementById('processButton');
87	96	const preview = document.getElementById('preview');
88		- const messageContainer = document.getElementById('messageContainer'); // 메시지를 담을 컨테이너 추가
	97	+ const messageContainer = document.getElementById('messageContainer');
	98	+ const clearButton = document.getElementById('clearButton');
89	99
90	100	clearButton.addEventListener('click', function() {
91		- // 메시지 컨테이너의 내용을 비움
92	101	preview.innerHTML = '';
93	102	messageContainer.innerHTML = '';
94	103	});
	104	+
95	105	fileInput.addEventListener('change', function(event) {
96	106	const file = event.target.files[0];
97	107	const reader = new FileReader();
98	108
99	109	reader.onloadend = function() {
100		- // 이미지 미리보기를 생성하여 화면에 표시
101	110	const img = new Image();
102	111	img.src = reader.result;
103		- img.style.width = '1080px'; // 미리보기 이미지의 너비 조절
104		- preview.innerHTML = ''; // 이전 미리보기 삭제
105		- preview.appendChild(img); // 새로운 미리보기 추가
	112	+ img.style.width = '1080px';
	113	+ preview.innerHTML = '';
	114	+ preview.appendChild(img);
106	115
107		- // 파일 정보를 기반으로 FormData를 생성하여 서버에 전송할 준비
108	116	const formData = new FormData();
109		- formData.append('file', file); // 이미지 파일을 FormData에 추가
	117	+ formData.append('file', file);
110	118
111		- const LAT = "36.123"; // Replace with the actual latitude value
112		- const LON = "123.123"; // Replace with the actual longitude value
113		- const FILENAME = file.name; // Use the selected file's name as the filename
114		- const FILE_TYPE = file.type; // Use the selected file's type as the file type
115		-
116		- // 여기서 formData와 FILENAME, FILE_TYPE을 이용하여 서버에 요청을 보내면 됩니다.
117		- // ...
	119	+ const LAT = "36.123";
	120	+ const LON = "123.123";
	121	+ const FILENAME = file.name;
	122	+ const FILE_TYPE = file.type;
118	123	};
119	124
120	125	if (file) {
...	...	@@ -126,44 +131,22 @@
126	131	const file = fileInput.files[0];
127	132
128	133	if (file) {
129		-
130		- const LAT = "36.123"; // Replace with the actual latitude value
131		- const LON = "123.123"; // Replace with the actual longitude value
132		- const FILENAME = file.name; // Use the selected file's name as the filename
133		- const FILE_TYPE = file.type; // Use the selected file's type as the file type
	134	+ const LAT = "36.123";
	135	+ const LON = "123.123";
	136	+ const FILENAME = file.name;
	137	+ const FILE_TYPE = file.type;
134	138	const formData = new FormData();
135	139	formData.append("data", JSON.stringify({ gps_x: LAT, gps_y: LON, filename: FILENAME, file_type: FILE_TYPE }));
136	140	const previewBlob = await fetch(preview.querySelector('img').src).then(res => res.blob());
137		- formData.append('file', previewBlob, FILENAME); // Blob 객체와 원래 파일 이름을 전송
138		-
139		-
	141	+ formData.append('file', previewBlob, FILENAME);
140	142
141	143	try {
142		- const URL = "http://127.0.0.1:12345/cctv/infer"; // Replace with the actual server URL
	144	+ const URL = "http://127.0.0.1:12345/cctv/infer";
143	145	const response = await fetch(URL, {
144	146	method: "POST",
145	147	body: formData
146	148	});
147		-
148		- if (response.ok) {
149		- const data = await response.json();
150		- console.log(data); // 서버에서 받은 응답 처리
151		-
152		- // data 객체에서 rain이 true인 경우 메시지 표시
153		- if (data.rain === true) {
154		- const message = document.createElement('div');
155		- message.textContent = '비 사진 감지되었습니다.';
156		- messageContainer.innerHTML = ''; // 기존 메시지 삭제
157		- messageContainer.appendChild(message); // 새로운 메시지 추가
158		- } else {
159		- const message = document.createElement('div');
160		- message.textContent = '일반 사진 감지되었습니다.';
161		- messageContainer.innerHTML = ''; // 기존 메시지 삭제
162		- messageContainer.appendChild(message); // 새로운 메시지 추가
163		- }
164		- } else {
165		- console.error("Error occurred while sending the request:", response.statusText);
166		- }
	149	+
167	150	} catch (error) {
168	151	console.error("Error occurred:", error);
169	152	}
...	...	@@ -171,8 +154,6 @@
171	154	console.error("No file selected.");
172	155	}
173	156	});
174		-
175		-
176	157	</script>
177	158	</body>
178		-</html> (파일 끝에 줄바꿈 문자 없음)
	159	+</html>

...	...	@@ -378,8 +378,8 @@
378	378	# Show the processed frame
379	379	# cv2.imshow('Processed Frame', resized_frame)
380	380	# # Save the processed frame
381		- # output_frame_path = os.path.join(output_dir, f"frame_{frame_count}.jpg")
382		- # cv2.imwrite(output_frame_path, resized_frame)
	381	+ output_frame_path = os.path.join(output_dir, f"frame_{frame_count}.jpg")
	382	+ cv2.imwrite(output_frame_path, resized_frame)
383	383
384	384	t2 = time.time()
385	385	frame_time = t2 - t1
...	...	@@ -411,4 +411,4 @@
411	411	if __name__ == "__main__":
412	412	# test()
413	413
414		- process_video("/home/juni/사진/flood/test_video.mp4", "./") (파일 끝에 줄바꿈 문자 없음)
	414	+ process_video("/home/juni/사진/flood/test_video.mp4", "/home/juni/사진/flood/infer/") (파일 끝에 줄바꿈 문자 없음)

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