70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
import datetime
|
||
import json
|
||
import os
|
||
from io import BytesIO
|
||
from middleware.minio_util import downFile, upload_file_from_buffer, upload_file
|
||
from mqtt_pub import MQTTClient
|
||
from uav_module.uav_seg import UAVSegPredictor
|
||
|
||
|
||
mqtt_client=None
|
||
# MQTT 代理地址和端口
|
||
# broker = "112.44.103.230" # 公共 MQTT 代理（免费）
|
||
broker = "8.137.54.85" # 公共 MQTT 代理（免费）
|
||
port = 1883 # MQTT 默认端口
|
||
# 主题
|
||
topic = "thing/product/ai/events"
|
||
|
||
|
||
def segementation_func(task_id, s3_id, s3_url, func_id):
|
||
predictor = UAVSegPredictor(
|
||
model_path='uav_module/checkpoints/deeplabv3plus_best.pth',
|
||
model_type='deeplabv3plus',
|
||
num_classes=7
|
||
)
|
||
color_map = [
|
||
[255, 0, 0], # 类别0: 红色
|
||
[0, 255, 0], # 类别1: 绿色
|
||
[0, 0, 255], # 类别2: 蓝色
|
||
[255, 255, 0], # 类别3: 黄色
|
||
[255, 0, 255], # 类别4: 品红
|
||
[0, 255, 255], # 类别5: 青色
|
||
[128, 0, 128] # 类别6: 紫色
|
||
]
|
||
|
||
# 类别 0：黑色 ；背景
|
||
# 类别 1：棕色 ；荒地
|
||
# 类别 2：绿色 ；林地
|
||
# 类别 3：黄色 ；农田
|
||
# 类别 4：蓝色 ；水域
|
||
# 类别 5：灰色 ；道路
|
||
# 类别 6：青色 ；建筑用地
|
||
|
||
mqtt_client = MQTTClient(broker, port, topic)
|
||
# dir_name = "ai_result"
|
||
for img_url in s3_url:
|
||
pic = downFile(img_url)
|
||
color_buffer=predictor.predict(pic, 'uav_module/output_test/patch_0011.png', color_map)
|
||
if color_buffer is not None:
|
||
pic_name = os.path.basename(pic)
|
||
date_str = datetime.datetime.now().strftime("%Y%m%d")
|
||
time_s = datetime.datetime.now().timestamp()
|
||
# mqtt_client = MQTTClient(broker, port, topic)
|
||
|
||
|
||
pic_name_before = f"{date_str}/{time_s}-before-{pic_name}"
|
||
pic_name_after = f"{date_str}/{time_s}-after-{pic_name}"
|
||
|
||
minio_path_before, file_type_before = upload_file(pic,None)
|
||
minio_path_after, file_type_after = upload_file_from_buffer(color_buffer, pic_name_after)
|
||
message = {
|
||
"flight_task_id": task_id,
|
||
"minio": {
|
||
"minio_path_before": minio_path_before,
|
||
"minio_path_after": minio_path_after,
|
||
"file_type": file_type_after
|
||
}
|
||
}
|
||
json_message = json.dumps(message, indent=4, ensure_ascii=False)
|
||
mqtt_client.publish_message(json_message)
|