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Merge branch 'master' of https://gitea.star-rising.cn/xkrs_manan/RODY

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This commit is contained in:
JIAKUNHAO
2022-11-24 10:56:15 +08:00
parent db888743b7 54f4b653be
commit 066fb720bc
9 changed files with 93 additions and 351 deletions
Download Patch File Download Diff File Expand all files Collapse all files
app/configs/default.py
+3 -3
View File
@@ -8,8 +8,8 @@ DEBUG = True
SECRET_KEY = 'WugjsfiYBEVsiQfiSwEbIOEAGnOIFYqoOYHEIK'
# 数据库配置
# SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://deepLearner:dp2021@124.71.203.3:5432/demo'
SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://demo:demo123@192.168.2.9:3306/flask_demo'
SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://deepLearner:dp2021@124.71.203.3:5432/demo'
#SQLALCHEMY_DATABASE_URI = 'mysql+pymysql://demo:demo123@192.168.2.9:3306/flask_demo'
SQLALCHEMY_TRACK_MODIFICATIONS = False
# 查询时会显示原始SQL语句
SQLALCHEMY_ECHO = True
@@ -21,7 +21,7 @@ SQLALCHEMY_ECHO = True
db = {
'host': '127.0.0.1',
'user': 'root',
'password': '',
'password': 'sdust2020',
'port': 6379,
'database': 'school',
'charset': 'utf8',
app/run.py
+2 -2
View File
@@ -10,7 +10,7 @@ from flask_sockets import Sockets
import sys
sys.path.append("/mnt/sdc/algorithm/AICheck-MaskRCNN")
sys.path.append("/mnt/sdc/algorithm/R-ODY")
# sys.path.append('E:/alg_demo-master/alg_demo/app/yolov5')
from app.core.common_utils import logger
from app.core.err_handler import page_not_found, method_not_allowed, exception_500, exception_400
@@ -130,5 +130,5 @@ if __name__ == '__main__':
from geventwebsocket.handler import WebSocketHandler
#8080 6913 '192.168.0.20'
server = pywsgi.WSGIServer(('192.168.2.118', 6914), app, handler_class=WebSocketHandler)
server = pywsgi.WSGIServer(('192.168.0.20', 6914), app, handler_class=WebSocketHandler)
server.serve_forever()
app/utils/redis_config.py
+1 -1
View File
@@ -5,7 +5,7 @@ import sys
import redis
from ..configs import default
from configs import default
class RedisCli(object):
app/utils/websocket_tool.py
+1 -3
View File
@@ -1,8 +1,6 @@
"""
@Time ： 2022/10/12 17:55
@Auth ： 东
@File ：websocket_tool.py
@IDE ：PyCharm
@Motto：ABC(Always Be Coding)
@Desc：
@@ -62,4 +60,4 @@ class WebsocketUtil:
self.disconnect(ws=connection, id=id)
manager = WebsocketUtil()
manager = WebsocketUtil()
app/yolov5/data/coco128.yaml
+4 -2
View File
@@ -1,7 +1,9 @@
path: null
train: E:/aicheck/data_set/11442136178662604800/trained/images/train/
val: E:/aicheck/data_set/11442136178662604800/trained/images/val/
train: /mnt/sdc/aicheck/IntelligentizeAI/data_set/193120735164768256/trained/images/train/
val: /mnt/sdc/aicheck/IntelligentizeAI/data_set/193120735164768256/trained/images/val/
test: null
names:
0: hole
1: '456'
2: dog
3: cat
nohup.out
+50 -337
View File
@@ -1,338 +1,51 @@
nohup: ignoring input
[INFO] select pg_catalog.version() (base.py:1853)
[INFO] [raw sql] {} (base.py:1858)
[INFO] select current_schema() (base.py:1853)
[INFO] [raw sql] {} (base.py:1858)
[INFO] show standard_conforming_strings (base.py:1853)
[INFO] [raw sql] {} (base.py:1858)
[INFO] BEGIN (implicit) (base.py:1027)
[INFO] select relname from pg_class c join pg_namespace n on n.oid=c.relnamespace where pg_catalog.pg_table_is_visible(c.oid) and relname=%(name)s (base.py:1853)
[INFO] [generated in 0.00012s] {'name': 'sys_user'} (base.py:1858)
[INFO] select relname from pg_class c join pg_namespace n on n.oid=c.relnamespace where pg_catalog.pg_table_is_visible(c.oid) and relname=%(name)s (base.py:1853)
[INFO] [cached since 0.00606s ago] {'name': 'sys_role'} (base.py:1858)
[INFO] select relname from pg_class c join pg_namespace n on n.oid=c.relnamespace where pg_catalog.pg_table_is_visible(c.oid) and relname=%(name)s (base.py:1853)
[INFO] [cached since 0.009177s ago] {'name': 'rel_user_role'} (base.py:1858)
[INFO] COMMIT (base.py:1087)
[WARNING] This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. (labelme2VOCSeg_aicheckFrom.py:101)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
warnings.warn(msg)
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained_backbone' is deprecated since 0.13 and may be removed in the future, please use 'weights_backbone' instead.
warnings.warn(
/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights_backbone' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights_backbone=None`.
warnings.warn(msg)
Exception in thread Thread-1:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
for obj in iterable:
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
IndexError: too many indices for tensor of dimension 1
[WARNING] This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. (labelme2VOCSeg_aicheckFrom.py:101)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
Exception in thread Thread-2:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
for obj in iterable:
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
IndexError: too many indices for tensor of dimension 1
[WARNING] This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. (labelme2VOCSeg_aicheckFrom.py:101)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
Exception in thread Thread-3:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
for obj in iterable:
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
IndexError: too many indices for tensor of dimension 1
[WARNING] This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. (labelme2VOCSeg_aicheckFrom.py:101)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
Exception in thread Thread-4:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
for obj in iterable:
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
IndexError: too many indices for tensor of dimension 1
[WARNING] This script is aimed to demonstrate how to convert theJSON file to a single image dataset, and not to handlemultiple JSON files to generate a real-use dataset. (labelme2VOCSeg_aicheckFrom.py:101)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
CUDA is available!
cuda
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_26.json
Polygon must have points more than 2
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_5.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_38.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_23.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_46.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_17.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_14.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_30.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_42.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_22.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_13.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_11.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_51.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_0.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_27.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_8.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_1.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_4.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_10.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_12.json
None
cuda
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_26.json
Polygon must have points more than 2
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_5.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_38.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_23.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_46.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_17.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_14.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_30.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_42.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_22.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_13.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_11.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_51.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_0.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_27.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_8.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_1.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_4.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_10.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_12.json
cuda
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/masks
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_5.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_38.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_23.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_46.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_17.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_14.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_30.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_42.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_22.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_13.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_11.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_51.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_0.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_27.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_8.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_1.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_4.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_10.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182075175733436416/ori/labels/tucengbuliang_a_12.json
cuda
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_5.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_23.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_46.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_14.json
Polygon must have points more than 2
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_55.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_30.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_77.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_67.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_11.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_0.json
cuda
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_5.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_23.json
/mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/labels/tucengbuliang_a_46.json
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
[INFO] Saved to: /mnt/sdc/IntelligentizeAI/IntelligentizeAI/data_set/182423143779016704/ori/masks (labelme2VOCSeg_aicheckFrom.py:97)
Exception in thread Thread-5:
Traceback (most recent call last):
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 207, in main
train_tesk.StarTrain()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 180, in StarTrain
_loop()
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/controller/AlgorithmController.py", line 112, in wrapped_function
data = func(*args, **kwargs)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 159, in _loop
self.train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/train.py", line 73, in train_one_epoch
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/utilss.py", line 171, in log_every
for obj in iterable:
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/wd/anaconda3/envs/aicheck_maskrcnn/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/sdc/algorithm/AICheck-MaskRCNN/app/maskrcnn/Dataset.py", line 58, in __getitem__
area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])
IndexError: too many indices for tensor of dimension 1
2022-11-24 08:58:34,262 INFO sqlalchemy.engine.Engine select pg_catalog.version()
2022-11-24 08:58:34,262 INFO sqlalchemy.engine.Engine [raw sql] {}
2022-11-24 08:58:34,267 INFO sqlalchemy.engine.Engine select current_schema()
2022-11-24 08:58:34,267 INFO sqlalchemy.engine.Engine [raw sql] {}
2022-11-24 08:58:34,272 INFO sqlalchemy.engine.Engine show standard_conforming_strings
2022-11-24 08:58:34,272 INFO sqlalchemy.engine.Engine [raw sql] {}
2022-11-24 08:58:34,277 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2022-11-24 08:58:34,277 INFO sqlalchemy.engine.Engine COMMIT
export: data=app/yolov5/data/coco128.yaml, weights=/mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.pt, imgsz=[640, 640], batch_size=1, device=0, half=False, inplace=False, train=False, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=11, verbose=False, workspace=4, nms=False, agnostic_nms=False, topk_per_class=100, topk_all=100, iou_thres=0.45, conf_thres=0.25, include=['torchscript', 'onnx']
YOLOv5 🚀 2022-11-7 Python-3.8.13 torch-1.8.0+cu111 CUDA:0 (Tesla T4, 15110MiB)
Fusing layers...
Model summary: 213 layers, 7020913 parameters, 0 gradients, 15.8 GFLOPs
PyTorch: starting from /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.pt with output shape (1, 25200, 9) (13.8 MB)
TorchScript: starting export with torch 1.8.0+cu111...
TorchScript: export success ✅ 0.9s, saved as /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.torchscript (27.3 MB)
ONNX: starting export with onnx 1.12.0...
ONNX: export success ✅ 1.8s, saved as /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx (27.2 MB)
Export complete (6.5s)
Results saved to /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights
Detect: python detect.py --weights /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx
Validate: python val.py --weights /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx
PyTorch Hub: model = torch.hub.load('ultralytics/yolov5', 'custom', '/mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx')
Visualize: https://netron.app
192.168.0.20 - - [2022-11-24 08:59:15] "GET /api/start_download_pt?param=%5B%7B%22index%22%3A+0%2C+%22name%22%3A+%22exp_inputPath%22%2C+%22value%22%3A+%22%2Fmnt%2Fsdc%2Faicheck%2FIntelligentizeAI%2Fdata_set%2Fweights%2Fces2_193120735164768256_R-ODY_2_640.pt%22%2C+%22description%22%3A+%22%5Cu8f6c%5Cu5316%5Cu6a21%5Cu578b%5Cu8f93%5Cu5165%5Cu8def%5Cu5f84%22%2C+%22default%22%3A+%22E%3A%2Falg_demo-master%2Falg_demo%2Fapp%2Fyolov5%2F%5Cu5706%5Cu5b54_123_RODY_1_640.pt%2F%22%2C+%22type%22%3A+%22S%22%2C+%22show%22%3A+false%7D%2C+%7B%22index%22%3A+1%2C+%22name%22%3A+%22device%22%2C+%22value%22%3A+%22gpu%22%2C+%22description%22%3A+%22CPU%5Cu6216GPU%22%2C+%22default%22%3A+%22gpu%22%2C+%22type%22%3A+%22S%22%2C+%22show%22%3A+false%7D%2C+%7B%22index%22%3A+2%2C+%22name%22%3A+%22imgsz%22%2C+%22value%22%3A+640%2C+%22description%22%3A+%22%5Cu56fe%5Cu50cf%5Cu5927%5Cu5c0f%22%2C+%22default%22%3A+640%2C+%22type%22%3A+%22I%22%2C+%22show%22%3A+true%7D%5D&id=875 HTTP/1.1" 200 240 7.984953
export: data=app/yolov5/data/coco128.yaml, weights=/mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.pt, imgsz=[640, 640], batch_size=1, device=0, half=False, inplace=False, train=False, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=11, verbose=False, workspace=4, nms=False, agnostic_nms=False, topk_per_class=100, topk_all=100, iou_thres=0.45, conf_thres=0.25, include=['torchscript', 'onnx']
YOLOv5 🚀 2022-11-7 Python-3.8.13 torch-1.8.0+cu111 CUDA:0 (Tesla T4, 15110MiB)
Fusing layers...
Model summary: 213 layers, 7020913 parameters, 0 gradients, 15.8 GFLOPs
PyTorch: starting from /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.pt with output shape (1, 25200, 9) (13.8 MB)
TorchScript: starting export with torch 1.8.0+cu111...
TorchScript: export success ✅ 0.8s, saved as /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.torchscript (27.3 MB)
ONNX: starting export with onnx 1.12.0...
ONNX: export success ✅ 1.6s, saved as /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx (27.2 MB)
Export complete (2.6s)
Results saved to /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights
Detect: python detect.py --weights /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx
Validate: python val.py --weights /mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx
PyTorch Hub: model = torch.hub.load('ultralytics/yolov5', 'custom', '/mnt/sdc/aicheck/IntelligentizeAI/data_set/weights/ces2_193120735164768256_R-ODY_2_640.onnx')
Visualize: https://netron.app
192.168.0.20 - - [2022-11-24 08:59:17] "GET /api/start_download_pt?param=%5B%7B%22index%22%3A+0%2C+%22name%22%3A+%22exp_inputPath%22%2C+%22value%22%3A+%22%2Fmnt%2Fsdc%2Faicheck%2FIntelligentizeAI%2Fdata_set%2Fweights%2Fces2_193120735164768256_R-ODY_2_640.pt%22%2C+%22description%22%3A+%22%5Cu8f6c%5Cu5316%5Cu6a21%5Cu578b%5Cu8f93%5Cu5165%5Cu8def%5Cu5f84%22%2C+%22default%22%3A+%22E%3A%2Falg_demo-master%2Falg_demo%2Fapp%2Fyolov5%2F%5Cu5706%5Cu5b54_123_RODY_1_640.pt%2F%22%2C+%22type%22%3A+%22S%22%2C+%22show%22%3A+false%7D%2C+%7B%22index%22%3A+1%2C+%22name%22%3A+%22device%22%2C+%22value%22%3A+%22gpu%22%2C+%22description%22%3A+%22CPU%5Cu6216GPU%22%2C+%22default%22%3A+%22gpu%22%2C+%22type%22%3A+%22S%22%2C+%22show%22%3A+false%7D%2C+%7B%22index%22%3A+2%2C+%22name%22%3A+%22imgsz%22%2C+%22value%22%3A+640%2C+%22description%22%3A+%22%5Cu56fe%5Cu50cf%5Cu5927%5Cu5c0f%22%2C+%22default%22%3A+640%2C+%22type%22%3A+%22I%22%2C+%22show%22%3A+true%7D%5D&id=875 HTTP/1.1" 200 240 2.709875
requirements.txt
+3 -3
View File
@@ -78,7 +78,7 @@ zipp==3.8.1
zope.event==4.5.0
zope.interface==5.5.0
torch>=1.8.0+cu111
torch==1.8.0
wandb>=0.12.10
tqdm>=4.64.0
opencv-python>=4.5.5.62
@@ -86,6 +86,6 @@ matplotlib>=3.2.2
pandas>=1.4.3
seaborn>=0.11.2
pillow>=9.0.1
torchvision>=0.9.0+cu111
torchvision==0.9.0
requests>=2.27.1
thop>=0.1.1-2209072238
thop>=0.1.1-2209072238
start.sh
Executable
+28
View File
@@ -0,0 +1,28 @@
#!/bin/sh
RESOURCE_NAME=app/run.py
tpid=`ps -ef|grep $RESOURCE_NAME|grep -v grep|grep -v kill|awk '{print $2}'`
if [ ${tpid} ]; then
echo 'Stop Process...'
kill -15 $tpid
fi
sleep 5
tpid=`ps -ef|grep $RESOURCE_NAME|grep -v grep|grep -v kill|awk '{print $2}'`
if [ ${tpid} ]; then
echo 'Kill Process!'
kill -9 $tpid
else
echo 'Stop Success!'
fi
tpid=`ps -ef|grep $RESOURCE_NAME|grep -v grep|grep -v kill|awk '{print $2}'`
if [ ${tpid} ]; then
echo 'App is running.'
else
echo 'App is NOT running.'
fi
rm -f tpid
nohup python ./$RESOURCE_NAME > nohup.out 2>&1 &
echo $! > tpid
echo Start Success!
tpid
+1
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@@ -0,0 +1 @@
2956744