Detection | object detectionPure Pytorch Code Three Pooling Methods | Computer Vision library
kandi X-RAY | Detection Summary
kandi X-RAY | Detection Summary
object detection
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Top functions reviewed by kandi - BETA
- Performs mono phase postprocessing
- Rotation matrix
- Get the rotation matrix for a given rotation matrix
- Generate multi - bin centers
- Convert a 2D box to a 2d mesh
- Convert direction to angle
- Convert two line segments to direction
- Generate side points from a 2D matrix
- Draws connected boxes
- Visualize a bounding box of bboxes
- Calculate rpn
- Visualize an image
- Compute rpn cls
- Compute rpn class
- Calculate the classification loss
- Forward the RPN model
- Assign the bounding box to the given boxes
- Assigns the bounding box to the given bounding box
- Calculate the loss for the classification
- Calculate the loss for a prediction
- Run inference
- Parse command line arguments
- Render image corners
- Forward computation
- Creates a new loss
- Calculate loss for classification
- Calculate the location of the mesh
Detection Key Features
Detection Examples and Code Snippets
Lines of Code : 161License : Non-SPDX (Apache License 2.0)
Copydef enable_op_determinism():
"""Configures TensorFlow ops to run deterministically.
When op determinism is enabled, TensorFlow ops will be deterministic. This
means that if an op is run multiple times with the same inputs on the same
hardwar def _get_ground_truth_detections(instances_file,
allowlist_file=None,
num_images=None):
"""Processes the annotations JSON file and returns ground truth data corresponding to allowlis public static CycleDetectionResult detectCycle(Node head) {
if (head == null) {
return new CycleDetectionResult<>(false, null);
}
Node it1 = head;
int nodesTraversedByOuter = 0;
while (it1 ! Community Discussions
Trending Discussions on Detection
QUESTION
The Question
How do I best execute memory-intensive pipelines in Apache Beam?
Background
I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.
I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.
The Problem
When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL.
I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.
I ran the pipeline through strace. These are the last lines in the trace:
ANSWER
Answered 2021-Jun-15 at 13:51Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.
Option 1 : clean your input dataThe third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.
Is there an empty file somewhere ? Are your files utf8 encoded ?
Option 2 : use smaller files as inputI'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?
If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner
QUESTION
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:
- CUDA Runtime and cudnn version fits the guide from Tensorflow official documentation.
- 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?
===================================
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.
...ANSWER
Answered 2021-Jun-15 at 13:04Generally, if there are any incompatibility between TF, CUDA and cuDNN version you can observed this behavior.
For GeForce RTX 3060, support starts from CUDA 11.x. Once you upgrade to TF2.4 or TF2.5 your issue will be resolved.
For the benefit of community providing tested built configuration
CUDA Support Matrix
QUESTION
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
...ANSWER
Answered 2021-Jun-15 at 04:38The example you are using receives the data as a byte array already, but it appends hex representation to the data as string. This is why you get your data in both representations.
You will need to change the example in the file BluetoothLeService.java on line 149. It is currently reading
intent.putExtra(EXTRA_DATA, new String(data) + "\n" + stringBuilder.toString());
and you would need to change it to
intent.putExtra(EXTRA_DATA, new String(data) + "\n");
if you want to receive only the string representation.
QUESTION
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.
...ANSWER
Answered 2021-Jun-14 at 16:59As a first solution I'd recommend maximizing the distance between the image of the line at infinity and the center of your picture.
Identify at least two pairs of lines that are parallel in the original image. Intersect the lines of each pair and connect the resulting points. Best do all of this in homogeneous coordinates so you won't have to worry about lines being still parallel in the transformed version. Compute the distance between the center of the image and that line, possibly taking the resolution of the image into account somehow to make the result invariant to resampling. The result will be infinity for an image obtained from a pure affine transformation. So the larger that value the closer you are to the affine scenario.
QUESTION
Good afternoon ,
Assume we have the following code where i'm trying to plot ggplot2 smoothing curve :
ANSWER
Answered 2021-Jun-14 at 14:09ROC(melded) will work, when you dont use "print(melted)" at the end of your function. Instead, just let the ggplot command be the last command in the function ROC<-function(melted). Then the ggplot will be the output.
QUESTION
Good afternoon ,
Assume we have the following long data :
...ANSWER
Answered 2021-Jun-14 at 12:13Here is one way using ggrepel library -
QUESTION
How to detect current day has end, and new day has goned in php runtime (detection function or logic, etc.)?
...ANSWER
Answered 2021-Jun-13 at 13:47I assume this is an infinite loop for a script you keep running continuously.
In that case you can just check the date against the last run.
For example
QUESTION
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.
...ANSWER
Answered 2021-Jun-12 at 23:21Ok, I found the answer myself and want to post it for the case that anyone else has the same question.
The answer lies in the config file for each database, i.e. the DB2Config.java file mentioned in the tutorial mentioned in the question.
While I'm at it, I'll inadvertedly also answer the question "how do I manipulate any of the spring.jpa properties for several databases independently".
In the example, the following method gets called:
QUESTION
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)' ]
ANSWER
Answered 2021-Jun-12 at 22:56matPrevGray is empty. that's what it's saying.
QUESTION
Good afternoon ,
Assume we have the following :
...ANSWER
Answered 2021-Jun-11 at 13:53I had found a solution. confusionMatrix() has an option called mode='everything' that outputs all implemented measures :
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