윤영준
05-08
First Commit
@24d2cdc31f25264b30387f0faf9e26400a63144e
+++ ITS/api.py
... | ... | @@ -0,0 +1,82 @@ |
| 1 | +import json | |
| 2 | +import time | |
| 3 | +import cv2 | |
| 4 | +import requests | |
| 5 | +import pandas as pd | |
| 6 | +import os | |
| 7 | +import numpy as np | |
| 8 | +from dotenv import load_dotenv | |
| 9 | + | |
| 10 | + | |
| 11 | +def create_url(apiKey, type, cctvType, minX, maxX, minY, maxY, getType="json", | |
| 12 | + baseurl="https://openapi.its.go.kr:9443/cctvInfo"): | |
| 13 | + ''' | |
| 14 | + 국가교통정보센터 예제 실행 | |
| 15 | + https://www.its.go.kr/opendata/openApiEx?service=cctv 참고 | |
| 16 | + :param apiKey: ``str`` 국가교통정보센터에서 발급받은 api 키 | |
| 17 | + :param type: ``str`` 도로 유형 ('ex' : 고속도로, 'its' : 국도) | |
| 18 | + :param cctvType: ``int`` CCTV 유형 (1. 실시간 스트리밍(HLS) / 2. 동영상 파일(m3u8) / 3. 정지 영상(JPEG)) | |
| 19 | + :param minX: 최소 경도 영역 | |
| 20 | + :param maxX: 최대 경도 영역 | |
| 21 | + :param minY: 최소 위도 영역 | |
| 22 | + :param maxY: 최대 경도 영역 | |
| 23 | + :param getType: 출력 결과 형식 ("xml" or "json") | |
| 24 | + :return: api 요청 url | |
| 25 | + ''' | |
| 26 | + assert type != "ex" or "its", 'Error! type should be either "ex" or "its"' | |
| 27 | + assert cctvType != 1 or 2 or 3, 'Error! cctvType should be one of 1, 2, 3!' | |
| 28 | + assert getType != "json" or "xml", 'Error! gettype should be either "json" or "xml"!' | |
| 29 | + | |
| 30 | + return ( | |
| 31 | + f"{baseurl}?" | |
| 32 | + f"apiKey={apiKey}&" | |
| 33 | + f"type={type}&" | |
| 34 | + f"cctvType={cctvType}&" | |
| 35 | + f"minX={minX}&maxX={maxX}&minY={minY}&maxY={maxY}&" | |
| 36 | + f"getType={getType}" | |
| 37 | + ) | |
| 38 | + | |
| 39 | +def gather_cctv_list(xmin, xmax, ymin, ymax, intervals, cctvtype): | |
| 40 | + dotenv = load_dotenv() | |
| 41 | + apiKey= os.getenv("ITS_API") | |
| 42 | + x_values = np.linspace(xmin, xmax, intervals+1) | |
| 43 | + y_values = np.linspace(ymin, ymax, intervals+1) | |
| 44 | + | |
| 45 | + all_data_df = pd.DataFrame() | |
| 46 | + | |
| 47 | + for i in range(len(x_values) - 1): | |
| 48 | + for j in range(len(y_values) - 1): | |
| 49 | + x = x_values[i] | |
| 50 | + y = y_values[j] | |
| 51 | + | |
| 52 | + x_next = x_values[i + 1] | |
| 53 | + y_next = y_values[j + 1] | |
| 54 | + | |
| 55 | + url = create_url(apiKey, 'its', cctvtype, | |
| 56 | + x, x_next, y, y_next) | |
| 57 | + response = requests.get(url) | |
| 58 | + response_json = json.loads(response.text) | |
| 59 | + if response_json['response']['datacount'] == 1: | |
| 60 | + new_df = pd.json_normalize(response_json['response']['data']) | |
| 61 | + all_data_df = pd.concat([all_data_df, new_df], ignore_index=True) | |
| 62 | + # df.to_csv(f"result/pohang/listofcctv_포항_{x}_{y}.csv", index=False) | |
| 63 | + elif response_json['response']['datacount'] != 0: | |
| 64 | + new_df = pd.DataFrame(response_json['response']['data']) | |
| 65 | + all_data_df = pd.concat([all_data_df, new_df], ignore_index=True) | |
| 66 | + # df.to_csv(f"result/pohang/listofcctv_포항_{x}_{y}.csv", index=False) | |
| 67 | + time.sleep(1) | |
| 68 | + print(f"{i}, {j}") | |
| 69 | + return all_data_df | |
| 70 | + | |
| 71 | +def get_jpeg(url): | |
| 72 | + response = requests.get(url) | |
| 73 | + encoded_img = np.frombuffer(response.content, dtype=np.uint8) | |
| 74 | + img = cv2.imdecode(encoded_img, cv2.IMREAD_COLOR) | |
| 75 | + return img | |
| 76 | + | |
| 77 | + | |
| 78 | + | |
| 79 | +if __name__ == "__main__": | |
| 80 | + df = gather_cctv_list(129.28, 129.35, 35.999, 36.07, 1, 1) | |
| 81 | + pass | |
| 82 | + # get_jpeg("http://cctvsec.ktict.co.kr:8090/74236/IM2NQs4/uHZcgnvJo3V/mjo3tswwgUj87kpcYZfR/BPxaQ4lk9agnl8ARIB9lhlgOD87VBx6RDHFl423kLkqHQ==")(파일 끝에 줄바꿈 문자 없음) |
+++ README.md
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| 1 | +# 2024-솔팩SW시제품 |
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+++ hls_streaming/hls.py
... | ... | @@ -0,0 +1,115 @@ |
| 1 | +import time | |
| 2 | +import av | |
| 3 | +import cv2 | |
| 4 | +import numpy as np | |
| 5 | +import requests | |
| 6 | +from zoneinfo import ZoneInfo | |
| 7 | +from datetime import datetime | |
| 8 | +from threading import Lock, Thread, Event | |
| 9 | + | |
| 10 | + | |
| 11 | +class FrameCapturer: | |
| 12 | + def __init__(self, hls_url, cctv_id, interval=5, buffer_duration=15, buffer_size=600, time_zone="Asia/Seoul", endpoint="localhost:12345"): | |
| 13 | + ''' | |
| 14 | + :param hls_url: hls address | |
| 15 | + :param cctv_id: cctv_id number(whatever it is, this exists to distinguish from where. Further disscusion is needed with frontend developers.) | |
| 16 | + :param interval: interval of sampling in seconds | |
| 17 | + :param buffer_duration: video buffer, 15 seconds is default for ITS video streaming | |
| 18 | + :param time_zone: default Asia/Seoul | |
| 19 | + ''' | |
| 20 | + self.hls_url = hls_url | |
| 21 | + self.interval = interval | |
| 22 | + self.buffer_duration = buffer_duration | |
| 23 | + self.buffer_size = 600 | |
| 24 | + self.frame_buffer = [] | |
| 25 | + self.frame_buffer_lock = Lock() | |
| 26 | + self.captured_frame_count = 0 | |
| 27 | + self.last_capture_time = 0 | |
| 28 | + self.start_time = time.time() | |
| 29 | + self.stop_event = Event() | |
| 30 | + self.setup_stream() | |
| 31 | + self.cctvid = cctv_id | |
| 32 | + self.time_zone = ZoneInfo(time_zone) | |
| 33 | + self.endpoint = endpoint | |
| 34 | + | |
| 35 | + def setup_stream(self): | |
| 36 | + self.input_stream = av.open(self.hls_url) | |
| 37 | + self.video_stream = next(s for s in self.input_stream.streams if s.type == 'video') | |
| 38 | + self.fps = self.video_stream.guessed_rate.numerator | |
| 39 | + self.capture_interval = 1 / self.fps | |
| 40 | + | |
| 41 | + # ```capture_frames``` and ```process_frames``` work asynchronously (called with Thread) | |
| 42 | + # so that it always run as intended (for every '''interval''' sec, send a photo) | |
| 43 | + # regardless of what buffer frames are now. | |
| 44 | + # They are triggered by ```start``` and halts by ```stop``` | |
| 45 | + def capture_frames(self): | |
| 46 | + for packet in self.input_stream.demux(self.video_stream): | |
| 47 | + for frame in packet.decode(): | |
| 48 | + with self.frame_buffer_lock: | |
| 49 | + self.frame_buffer.append(frame) | |
| 50 | + time.sleep(self.capture_interval) | |
| 51 | + | |
| 52 | + def process_frames(self): | |
| 53 | + while not self.stop_event.is_set(): | |
| 54 | + current_time = time.time() | |
| 55 | + if current_time - self.start_time >= self.buffer_duration: | |
| 56 | + if self.last_capture_time == 0 or current_time - self.last_capture_time >= self.interval: | |
| 57 | + with self.frame_buffer_lock: | |
| 58 | + if self.frame_buffer: | |
| 59 | + if len(self.frame_buffer) > self.buffer_size: | |
| 60 | + self.frame_buffer = self.frame_buffer[-self.buffer_size:] | |
| 61 | + buffered_frame = self.frame_buffer[-1] | |
| 62 | + print(len(self.frame_buffer)) | |
| 63 | + img = buffered_frame.to_image() | |
| 64 | + img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR) | |
| 65 | + frame_name = f"captured_frame_{self.captured_frame_count}.jpg" | |
| 66 | + img_binary = cv2.imencode('.png', img) | |
| 67 | + self.send_image_to_server(img_binary, self.endpoint) | |
| 68 | + cv2.imwrite(f'hls_streaming/captured_frame_/{datetime.now()}_{frame_name}', img) | |
| 69 | + self.last_capture_time = current_time | |
| 70 | + print(f"Captured {frame_name} at time: {current_time - self.start_time:.2f}s") | |
| 71 | + self.captured_frame_count +=1 | |
| 72 | + | |
| 73 | + time.sleep(0.1) | |
| 74 | + | |
| 75 | + def send_image_to_server(self, image, endpoint, image_type="png"): | |
| 76 | + time_sent = datetime.now(self.time_zone).strftime("yyyy-MM-dd'T'HH:mm:ss'Z'") | |
| 77 | + header = { | |
| 78 | + 'Content-Type': f'image/{image_type}', | |
| 79 | + 'x-time-sent': time_sent, | |
| 80 | + 'x-cctv-info': str(self.cctvid), | |
| 81 | + } | |
| 82 | + try: | |
| 83 | + requests.post(endpoint, headers=header, files=image) | |
| 84 | + except: | |
| 85 | + print("Can not connect to the analyzer server. Check the endpoint address or connection.") | |
| 86 | + | |
| 87 | + def start(self): | |
| 88 | + self.capture_thread = Thread(target=self.capture_frames) | |
| 89 | + self.process_thread = Thread(target=self.process_frames) | |
| 90 | + self.capture_thread.start() | |
| 91 | + self.process_thread.start() | |
| 92 | + | |
| 93 | + def stop(self): | |
| 94 | + self.stop_event.set() | |
| 95 | + self.capture_thread.join() | |
| 96 | + self.process_thread.join() | |
| 97 | + self.input_stream.close() | |
| 98 | + | |
| 99 | + | |
| 100 | +# Example usage | |
| 101 | +if __name__ == "__main__": | |
| 102 | + capturer = FrameCapturer( | |
| 103 | + 'http://cctvsec.ktict.co.kr/73496/' | |
| 104 | + '7xhDlyfDPK1AtaOUkAUDUJgZvfqvRXYYZUmRLxgPgKXk+eEtIJIfGkiC/gcQmysaz7zhDW2Jd8qhPCxgpo7cn5VqArnowyKjUePjdAmuQQ8=', | |
| 105 | + 101, 300 | |
| 106 | + ) | |
| 107 | + t1 = time.time() | |
| 108 | + try: | |
| 109 | + capturer.start() | |
| 110 | + time.sleep(600000) | |
| 111 | + finally: | |
| 112 | + capturer.stop() | |
| 113 | + t2 = time.time() | |
| 114 | + with open("result.txt", "w") as file: | |
| 115 | + file.write(f'{t2-t1} seconds before terminating') |
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