Detection | NET Core Detection with Responsive View

Machine Setting:

• GPU: GeForce RTX 3060

• Driver Version: 460.73.01

• CUDA Driver Veresion: 11.2

• Tensorflow: tensorflow-gpu 1.14.0

• CUDA Runtime Version: 10.0

• cudnn: 7.4.1

Note:

1. CUDA Runtime and cudnn version fits the guide from Tensorflow official documentation.
2. I've also tried for TensorFlow-gpu = 2.0, still the same problem.

Problem:

I am using Tensorflow for an objection detection task. My situation is that the program will stuck at

2021-06-05 12:16:54.099778: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10

for several minutes.

And then stuck at next loading process

2021-06-05 12:21:22.212818: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7

for even longer time. You may check log.txt for log details.

After waiting for around 30 mins, the program will start to running and WORK WELL.

However, whenever program invoke self.session.run(...), it will load the same two library related to cuda (libcublas and libcudnn) again, which is time-wasted and annoying.

I am confused that where the problem comes from and how to resolve it. Anyone could help?

Discussion Issue on Github

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Update

After @talonmies 's help, the problem was resolved by resetting the environment with correct version matching among GPU, CUDA, cudnn and tensorflow. Now it works smoothly.

I am using the BluetoothLeGatt example from here: https://github.com/android/connectivity-samples/tree/master/BluetoothLeGatt

Assume BLE connection, service and characteristic detection have all happened properly. The following data being sent is value of a characteristic.

From a custom BLE device, I am sending an array of bytes to the smartphone, for example, something line {0x00, 0x01, 0x02, 0x03, 0x04}. In the android program this is received inside the onReceive() function inside BroadcastReceiver mGattUpdateReceiver in DeviceControlActivity.java

The line

I am coding a program in OpenCV where I want to adjust camera position. I would like to know if there is any metric in OpenCV to measure the amount of perspectiveness in two images. How can homography be used to quantify the degree of perspectiveness in two images as follows. The method that comes to my mind is to run edge detection and compare the parallel edge sizes but that method is prone to errors.

Good afternoon ,

Assume we have the following code where i'm trying to plot ggplot2 smoothing curve :

Good afternoon ,

Assume we have the following long data :

How to detect current day has end, and new day has goned in php runtime (detection function or logic, etc.)?

I have got a Spring Boot project with two data sources, one DB2 and one Postgres. I configured that, but have a problem:

The auto-detection for the database type does not work on the DB2 (in any project) unless I specify the database dialect using spring.jpa.database-platform = org.hibernate.dialect.DB2390Dialect.

But how do I specify that for only one of the database connections? Or how do I specify the other one independently?

Additional info to give you more info on my project structure: I seperated the databases roughly according to this tutorial, although I do not use the ChainedTransactionManager: https://medium.com/preplaced/distributed-transaction-management-for-multiple-databases-with-springboot-jpa-and-hibernate-cde4e1b298e4 I use the same basic project structure and almost unchanged configuration files.

i'm trying to track objects with Optical flow in android after using a Haar Cascade detection like in the code below and i have this error can anyone help me with this

E/cv::error(): OpenCV(3.4.12) Error: Assertion failed ((npoints = prevPtsMat.checkVector(2, CV_32F, true)) >= 0) in virtual void cv::{anonymous}::SparsePyrLKOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray), file /build/3_4_pack-android/opencv/modules/video/src/lkpyramid.cpp, line 1259 E/org.opencv.video: video::calcOpticalFlowPyrLK_15() caught cv::Exception: OpenCV(3.4.12) /build/3_4_pack-android/opencv/modules/video/src/lkpyramid.cpp:1259: error: (-215:Assertion failed) (npoints = prevPtsMat.checkVector(2, CV_32F, true)) >= 0 in function 'virtual void cv::{anonymous}::SparsePyrLKOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray)' E/AndroidRuntime: FATAL EXCEPTION: Thread-2 Process: opencv.org, PID: 31380 CvException [org.opencv.core.CvException: cv::Exception: OpenCV(3.4.12) /build/3_4_pack-android/opencv/modules/video/src/lkpyramid.cpp:1259: error: (-215:Assertion failed) (npoints = prevPtsMat.checkVector(2, CV_32F, true)) >= 0 in function 'virtual void cv::{anonymous}::SparsePyrLKOpticalFlowImpl::calc(cv::InputArray, cv::InputArray, cv::InputArray, cv::InputOutputArray, cv::OutputArray, cv::OutputArray)' ]

Good afternoon ,

Assume we have the following :