extract_images documentation about fruit-images-dataset

[mihaioltean]

t_box is type for defining a rectangular bounding box . Corners of the box are stored in min and max data members.

Now I have added more comments in the source code. Please tell me which part you do not understand.

Please note that the background should note have too many fluctuations. In our case we have placed a white sheet of paper behind the fruits. Still, white paper does not mean white background on movie (mainly due shadows). If your background is very varied you need some more complex algorithms ... check for the image segmentation problem.

[CJRobey]

I don't know how to increase the size of the box though. I'm only getting very partial images as the one above. Whenever I try to do that, I either get an error from OpenCV or the dimensions become very strange.

How should I edit the line in fruits_definition.h to increase this parameter properly?

Rect r_box(705, 205, 205, 205);

[mihaioltean]

send me the full image.

[CJRobey]

[mihaioltean]

Something like this. The algorithm cannot do more ... there is too much shadow between the dogs legs.

[CJRobey]

What r_box parameters did you use for that image?

…

On Tue, Jun 12, 2018, 2:25 PM Mihai Oltean ***@***.***> wrote: [image: 0_540] <https://user-images.githubusercontent.com/3392157/41312312-63c39272-6e8f-11e8-8cce-4763494a9823.jpg> Something like this. The algorithm cannot do more ... there is too much shadow between the dogs legs. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#5 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AOhA_XwQd0uQ_5kQ9ht2-XNIqI5_C5qwks5t8BWjgaJpZM4UkzBX> .

[mihaioltean]

Rect r_box(390, 180, 540, 540);
#define motor_shaft_height 1
#define color_distance 3

However, some changes are required in the main function because the program is intended to work with movies not with images.

Also, update to the latest version because I fixed a problem: I worked with "smaller_image_size" constant (which was defined as 100) but somewhere in the program I used value 100 ... maybe this is why you got crash if you changed the smaller_image_size.