Image.darknet:Cannot detect anything. about image HOT 12 CLOSED

Lower the threshold, or get on Linux would be my advise as originally darknet was Linux-only.

from image.

Already tried lowering the threshold, but I got the same results. I will try to run that on Linux, as you suggest. Many thanks!

from image.

You might also want to take other trained models instead of tiny coco.
See ?image_darknet_model

from image.

Please make your example reproducible and make sure you use the correct network configuration, network weights and labels. See https://pjreddie.com/darknet/yolo/

from image.

Could you show me the right way to move forward please?
It's unlikely that i did wrong something since i just download the model, the weights and labels, and copied the code (even lowering the threshold) in the help.
By the way the imagine is attached below.

Thank you again !

from image.

You need to give code that can be run with copy-pasteing in the console, otherwise, I can not help you. Also make sure the model, weights, labels are correct. These can be downloaded from https://pjreddie.com/darknet/yolo/ (just below the video you'll find the model configuration (cfg files), the deep learning weights (.weights file) and the labels are either COCO or VOC (that is indicated in the Train column).

from image.

I used the code below :
library(devtools)
library(image.darknet)
f <- system.file(package="image.darknet", "include", "darknet", "data", "coco.names")
labels <- readLines(f)
download.file(url = "http://pjreddie.com/media/files/tiny-yolo.weights", destfile = weights)
weights <- file.path(system.file(package="image.darknet", "models"), "tiny-yolo.weights")
yolo_tiny_coco <- image_darknet_model(type = 'detect',
model = "tiny-yolo.cfg",
weights = system.file(package="image.darknet", "models", "tiny-yolo.weights"),
labels = labels)
yolo_tiny_coco
x<-image_darknet_detect("C:/Users/Ciro1/Desktop/immagini/cat.jpg",yolo_tiny_coco)
While the output has been the following:
C:/Users/Ciro1/Desktop/immagini/cat.jpg: Predicted in 31.884000 seconds.
Boxes: 845 of which 0 above the threshold.

I tried also lowering the threshold but I got the same results, as I told you before. What do you suggest?

from image.

Can you make sure you I can run this in a clean R session from my side.

from image.

Yes, I am sure. Once I have downloaded the models,labels and weights, that's the entire code I used.

from image.

Your example is not reproducible. You need to provide code that I can just copy-paste in my console and which will work without errors. Currently your code contains errors when run from a clean session.

from image.

I don't know what to do more than this, I am struggling to understand what I am doing wrong, but it looks impossible.
Don't know if it depends from the fact that I am using Windows, but actually I can't use Linux and furthemore I don't see any reasons why it shouldn't work on Windows.
I also had a look also to the code which is on ?image_darknet_model , and it's just like mine.

from image.

after struggling so long, I decided to install linux and magically it worked, so the code was not wrong. No idea about the reasons why it happens, but that is
By the way thanks for your help!

from image.