When testing in the test environment, the Chrome browser in one environment cannot be accessed, and the following error is reported: failed to load resource: Net:: err_ FAILED 。 It’s OK to use other browsers, and it’s OK for other colleagues to use chrome browsers.
terms of settlement:
1. Open chrome://flags/#block -insecure-private-network-request
2. Disable block secure private network requests
Problem recurrence:
<?php
function getCertInfo($domain)
{
$context = stream_context_create([
'ssl' => [
'capture_peer_cert' => true,
'capture_peer_cert_chain' => true,
],
]);
$client = stream_socket_client("ssl://{$domain}:443", $errorCode, $errorMessage, 30, STREAM_CLIENT_CONNECT, $context);
if ($client === false) {
var_dump("!!!open {$domain} socket connection fail. {$errorMessage}($errorCode) !!!";
return false;
}
$params = stream_context_get_params($client);
if (empty($params['options']['ssl']['peer_certificate'])) {
var_dump("!!!{$domain} stream_context_get_params options ssl peer_certificate is empty!!!");
return false;
}
return openssl_x509_parse($params['options']['ssl']['peer_certificate']);
}
Solution: $context add verify_ Peer configuration
<?php
$context = stream_context_create([
'ssl' => [
'capture_peer_cert' => true,
'capture_peer_cert_chain' => true,
'verify_peer' => false,
],
]);1. Your project should report this problem when compiling after pod install, as shown in the figure below
2. Let’s start with the solution option CD /Users/yixuan/Downloads/bluecollar_ gongdi_ IOS/bluecollar/pods/target support files/pods bluecollar/pods bluecollar resources.sh this file is located in the folder
3. CD to the pods directory where the error is reported, and then execute the command Chmod a + X pods-bluecollar-resources.sh to solve the problem
4. Cocoapods provides a bash script named pods-resources.sh, which will be executed every time the project is compiled to copy various resource files of the third-party library to the target directory.
5. Cocoapods sets all dependencies and parameters at compile time through a file named pods.xcconfig.
Error reporting: org.apache.spark.sparkexception: Python worker failed to connect back
Org.apache.spark.sparkexception: Python worker failed to connect back
tried various online methods, and then
solution:
put my computer – Management – advanced system settings – environment variables – system variables,
put spark_ Set home to the EXE file of python, as shown in the following figure:
it’s done
WIN10 Spark 3.1.2
Failed to import module __ PyInstaller_ hooks_ 0_ IPython required by hook for module problem solving
Method 1 and method 2
Method 1
It may be a problem with pyinstaller. Try reinstalling pyinstaller
enter in the command line:
>>> pip uninstall pyinstaller
>>> pip install pyinstaller
Method 2
The error can be caused by the installation of outdated IPython in the environment. We can try to update it to a newer version
enter in the command line:
>>> pip install --upgrade IPython
I hope I can help you!
Use [email protected] time: wrong type: webpack.namedmodulesplugin is not a constructor
Next, webpack.config.js:
const webpack = require('webpack');
const { merge } = require('webpack-merge');
const baseConfig = require('./webpack.config.base');
module.exports = merge(baseConfig, {
mode: process.env.NODE_ENV,
entry: {
index: './app/index.ts',
},
plugins: [
new webpack.NamedModulesPlugin(),
new webpack.EnvironmentPlugin({
NODE_ENV: 'development',
}),
],
});
Cause of problem: in 5.0, namedmodules plugin has been removed
Refer to upgrading obsolete configuration items
NamedModulesPlugin → optimization.moduleIds: ‘named’
optimization: {
moduleIds: 'named'
}
Modify configuration:
const webpack = require('webpack');
const { merge } = require('webpack-merge');
const baseConfig = require('./webpack.config.base');
module.exports = merge(baseConfig, {
mode: process.env.NODE_ENV,
entry: {
index: './app/index.ts',
},
optimization: {
moduleIds: 'named'
},
plugins: [
new webpack.EnvironmentPlugin({
NODE_ENV: 'development',
}),
],
});
PS. moduleid it seems that the default value is named?Just remove namedmodules plugin.
The error stopiteration is reported when using next (ITER (data. Dataloader()). This is because when using next() When accessing an iterator that has been iterated, an error will be triggered: stopiteration, that is, after a round of iteration after the dataloader imports the data, it is found that there is no data when importing again, that is, after the Iterable is completed, stopiteration is triggered, and then the loop jumps out
resolvent:
Since there is no data when importing again, we can use a data loader.
Put the in train.py
inps, targets = next(self.batch_iterator)
Change to:
try:
inps, targets = next(self.batch_iterator)
except StopIteration:
self.batch_iterator = iter(data.DataLoader(self.train_dataset, self.args.batch_size, shuffle=True, num_workers=self.args.num_workers, collate_fn=detection_collate))
inps, targets = next(self.batch_iterator)
Problem solving.
The second time I appeared, I looked for it for a long time. I don’t have a long memory. Record it
Problem Description: compilation error: msb3721, return code 255
solution:
in CUDA C/C + ± & gt; Under generate relocatable device code, select * * * Yes (- RDC = true) * * *
reference: https://www.cnblogs.com/qpswwww/p/11646593.html
1、 Detailed error reporting information is as follows:
[TransmuxingController] > DemuxException: type = CodecUnsupported, info = Flv: Unsupported audio codec idx: 7
Uncaught (in promise) Error: Unhandled error. (undefined)
at EventEmitter.emit (events.js:135)
at EventEmitter.eval (flv-player.js:453)
at EventEmitter.emit (events.js:144)
at eval (transmuxer.js:729)
Flv: Unsupported audio codec.
2、 Solution
Analysis: there is no error in the front end
reason: Google does not prohibit video, but audio, but the video contains audio information, so it depends on whether the playback stream contains audio operations
Here, modify the streaming command to solve the problem:
Original:
ffmpeg -i rtsppath -vcodec copy -s 704x576 -acodec copy -f flv rtmp:/****/rtmplive/test
After modification:
ffmpeg -i rtsppath -vcodec copy -an -s 704x576 -acodec copy -f flv rtmp:/****/rtmplive/test
3、 Summary
when ffmpeg streaming is used, the audio coding is forced to AAC format.
Mmdetection trains its own data set to report errors ⚠️ ：
# AssertionError: The `num_ classes` (3) in Shared2FCBBoxHead of MMDataParallel does not matches the length of `CLASSES` 80) in CocoDataset
This means that the category (3) you specified does not match the category (80) of cocodataset.
You may have modified the following files, but you still report an error:
mmdetection-master\mmdet\core\evaluation\class_ names.py
def coco_classes(): return [ # 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', # 'truck', 'boat', 'traffic_light', 'fire_hydrant', 'stop_sign', # 'parking_meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', # 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', # 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', # 'sports_ball', 'kite', 'baseball_bat', 'baseball_glove', 'skateboard', # 'surfboard', 'tennis_racket', 'bottle', 'wine_glass', 'cup', 'fork', # 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', # 'broccoli', 'carrot', 'hot_dog', 'pizza', 'donut', 'cake', 'chair', # 'couch', 'potted_plant', 'bed', 'dining_table', 'toilet', 'tv', # 'laptop', 'mouse', 'remote', 'keyboard', 'cell_phone', 'microwave', # 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', # 'scissors', 'teddy_bear', 'hair_drier', 'toothbrush' 'lm','ls' ]mmdetection-master\mmdet\datasets\coco.py
class CocoDataset(CustomDataset): # CLASSES = ( # 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', # 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', # 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', # 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', # 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', # 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', # 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', # 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', # 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', # 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', # 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', # 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', # 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', # 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush' # ) CLASSES = ('lm', 'ls')
No more nonsense, go straight to the method. There are several methods:
one ️⃣ If you have two classes, you can replace the first two classes in the above two places with your classes. The method is relatively simple, but there may be hidden dangers.
two ️⃣ The second method is to modify the class_ After names.py and voc.py, the code must be recompiled (run Python setup.py install) and then trained.
I tried, but I still made the same mistake. Maybe my method is wrong.
reference resources:
New mmdetection v2.3.0 training test notes – it610.com
Mmdetectionv2. X version trains its own VOC dataset_ Peach jam Momo blog – CSDN blog
three ️⃣ The third method, which I use, is actually the same as recompilation. The reason for recompilation is that you report an error because the source file in the environment has not been modified. There are only some Python files in the mmdetection master directory. When the program is actually running, it is still the source file in the environment, because we directly modify the source file in the environment.
Suppose my CONDA environment is called CONDA_ env_ Name, so go to the following directory and modify two files respectively:
\anaconda3\envs\conda_ env_ name\lib\python3.7\site-packages\mmdet\core\evaluation\class_ names.py
\anaconda3\envs\conda_ env_ name\lib\python3.7\site-packages\mmdet\datasets\coco.py
Modify the categories in these two files in the CONDA environment.
⭐ In the end, I did my best to solve this bug and write this blog to help you avoid detours.
Modify
set Java in/etc/Hadoop/Hadoop env.cmd file_ HOME=%JAVA_ Home%
is (modified to the JDK location configured by your own machine)
set Java_ HOME=C:\Program Files\Java\jdk1.8.0_ 144 check fs.default.name
check whether the attribute value of fs.default.name in/etc/Hadoop/core-site.xml is consistent with that in the server. Inconsistency needs to be changed to consistency. Configure environment variables
Hadoop_ Home and % Hadoop in path_ Home% \ bin configure local hosts
192.168.19.185 Server1
192.168.19.184 server2
192.168.19.199 server3winutils.exe and hadoop.dll in Hadoop/bin directory, hadoop.dll in C: \ window \ system32 directory, and restart the IDE. If an error is still reported, restart the computer
When writing a Vue project, the project does not report an error, but the Vue file will display an error semi colon expected CSS (CSS semicolonexpected)
solution:
change the file type in the lower right corner from HTML to Vue
