ObjectDetection | some object detection algo | Data Mining library

I've trained Yolov5s model in colab.research env. After training I've moved best.pt to main yolov5 directory and renamed file to yolov5s.pt.

After calling export.py i got error listed below

Summary/TL;DR: ML Object Detection application is unable to detect objects because images aren't being acquired by analyze() method.

I'm currently working on a mobile application using CameraX and Google ML Kit written in Java. The purpose of the application is to detect objects with a real time camera preview. I implemented ML Kit using this guide aptly titled "Detect and track objects with ML Kit on Android" (base model option) to detect objects in successive frames within the application.

However, upon running the application, it launches on my device and the camera preview continues to work but the application does not carry out its intended effect of actually detecting objects and displaying it on my screen. To attempt to resolve this, I had found this StackOverflow answer that very closely resembles this issue. To my dismay, the user had built their application using a custom model (tflite). This differs from mine as I am using the base model. According to my research, this uses the ML Kit's on-device's object detection. The code being applied is restricted to what is present within the aforementioned documentation. Since my IDE (Android Studio) does not display any errors within the syntax, I am unsure as to why any object detection does not appear to be present on my application. Displayed below is the necessary code that had been used:

I am trying to setup an ImageAnalyzer with my Android app so I can run object classification using Google's ML Kit API. The issue I am currently facing, as the title suggests, is constantly seeing the error "Failed to initialize detector".

I've reread this tutorial about three times now and followed this post about someone facing the same error (although for a different reason) to no avail. I've also made sure everything with the CameraX API (except the ImageAnalyzer code that I will show in a second) works as expected.

As mentioned in the ML Kit documentation, here is the code I have regarding setting up a LocalModel, a CustomObjectDetectorOptions, and an ObjectDetector:

I have the following code

I am working on a plant leaf detection model using imageAI library. when I create an instance of the model the following error occurs. I can not understand the error. this is my code:

This is an extension of a question I asked before.

I'm using the recent version of MLKit Object Detection (which doesn't require firebase). I'm using a custom model, and CameraX, to detect objects and label them/get info.

Right now, with the code I have, it can detect that objects are present in the area, but:

1. No labels or bounding boxes are showing up;
2. It is not detecting more than one object at a time;
3. Once it detects an object, the app won't "change" (i.e when I move the phone, to try to detect another object, nothing in the display changes.

Here is my code:

My setup with Firebase is based on Carthage and everything is working great with that. But now that we have migrated to MLKit (they do not have support for Carthage) we have included 2 of the libraries from MLKit that we need through Cocoapods, but we keep on getting this linker errors.

Hoping someone can help. I am experiencing difficulty making a curl POST request with JSON data from a gitlab CI job.

The curl request works fine in a local terminal session, (N.B I did not use double quotes in terminal session). If I do not escape double quotes in the gitlab CI yaml I get the error curl: (3) [globbing] nested brace in column 112

If I escape the double quotes in the GitLab CI job, as shown below I get the error: curl: (3) [globbing] unmatched brace in column 1

In all cases I get the error /bin/bash: line 134: warning: here-document at line 134 delimited by end-of-file (wanted `EOF')

Is it possible to POST JSON data using here-documents from a GitLab CI job?

.gitlab-ci.yml job extract

About OC: Ubuntu 16.04 LTS x86_64; GRX CUDA 10.2; cudnn ... etc.

TF: 2.1.0; Python 3.6

About the problem: When I launch module_main.py an error is displayed. When I launch it /legacy/train.py similarly, an error appears. Is it possible to fix this problem without downgrading the tensorflow version and without reinstalling the drivers? Is changing the code via a script the only way?

Logs below: