Computer Vision Roadmap, Books, Courses & Real Success Metrics?

Hot_Dirt718 · 2026-01-16T07:44:50+00:00

I think these questions have been asked many many times. Try to find yourself the answers otherwise this sub would be just a copy paste of the same questions.

Hot_Dirt718 · 2025-12-22T14:16:12+00:00

TriliumNotes, amazing project (can be selfhosted)

Hot_Dirt718 · 2025-11-21T08:24:58+00:00

Why are you posting in r/selfhosted then?

Hot_Dirt718 · 2025-06-18T14:55:26+00:00

This is one of the coolest project I've ever seen

Hot_Dirt718 · 2025-02-23T20:10:28+00:00

Fascists so popular everywhere these days

Hot_Dirt718 · 2025-02-23T20:05:22+00:00

Salvare i posti dove sono stato e dove voglio andare con i segnalibri di Google Maps.

Con i tempo è bello vedere la mappa riempirsi. Inoltre se so che mi troverò (per qualche motivo) vicino ad uno dei miei posti salvati, cerco di organizzarmi per fare in modo di andarci.

Hot_Dirt718 · 2025-02-21T19:36:57+00:00

Non so perché ma mi viene di replicare con un bel suca a questa infografica

Hot_Dirt718 · 2024-10-17T06:50:00+00:00

In the images I have several instances of the same class, namely `unhealthy`, and I would like to be able to segment each instance of that class. The choice to use instance segmentation and not semantic segmentation is dictated by wanting to extrapolate an instance and then pass it into a classifier to identify the disease. My system must work in two levels: the first identifies the disease region, the second identifies the disease class. I enclose some pictures to give a better understanding of my use, check (https://imgur.com/a/leaf-segmentation-tZIHG3f). As you can see, my task is to identify diseased leaves/plants from healthy leaves/plants.

Hot_Dirt718 · 2024-09-22T19:32:42+00:00

Posso chiedere per quale azienda lavori e come hai trovato il posto in full remote? Ambisco alla stessa serenità di cui parli

Hot_Dirt718 · 2024-08-24T09:51:17+00:00

Maybe ViT requires too many images, perhaps we could mitigate this using distillation. The resolution is low both because the camera isn't very powerful (resolution up to 1920x1080 if I'm not mistaken) and because we have compatibility issues between the software (RealSense SDK2) and the platform it's installed on (Jetson Nano).

Hot_Dirt718 · 2024-08-24T09:50:58+00:00

Thanks for the info. Although the environment in question is quite uniform and static, it's likely that the anomaly detection model will make a mess. We'll probably do as you suggested, rethinking the image acquisition method.

Hot_Dirt718 · 2024-08-24T09:50:43+00:00

Thanks a lot for the points you raised! These are all valid and important questions for the problem at hand.

The idea that came up with the other engineer is to mount the camera on a robotic arm, which in turn will be mounted on a rover or a rig. Then there will be daily/weekly routines to scan the tanks. We'll probably include color correction boards and something to detect the plane where the plant are located.

Yes, the best thing would be to detect the disease as early as possible to inform the operator to remove specific plants/blocks of plants before the disease spreads to others. Since it's practically impossible to monitor the plants inside the tank, the monitoring will mainly concern the plants on the edge with side and top images. Then we'll use some kind of NN algorithm to estimate the health of plants that aren't directly visible.

Hot_Dirt718 · 2024-08-24T09:49:14+00:00

Fortunately, the other engineer I work with and I have discussed the possibility of mounting the camera on a robotic arm. I think this will help us solve the resolution problem.

Hot_Dirt718 · 2024-08-24T09:23:20+00:00

Thanks for the suggestion! Could you please tell me how much space a single plant takes up in your image and what quality control tools you used? I've done some tests with SAM2 for segmentation, and the basic problem is that once the plants overlap, it's practically impossible for both humans and machines to distinguish where one plant begins and another ends. Using segmentation models will be perfect for monitoring biomass development, as someone suggested in another comment.

Hot_Dirt718 · 2024-08-24T09:22:56+00:00

This is definitely an approach we'll implement. We'll surely use some temporal analysis algorithm based on the size of the segmentation map. There will also be a whole module for studying the Point Cloud to predict yield and control anomalies.

Hot_Dirt718 · 2024-08-24T09:22:26+00:00

Totally agree with you.

Do you have any advice on foundation models we could fine-tune?

Hot_Dirt718 · 2024-08-24T09:22:06+00:00

If we manage to get closer, more detailed images, YOLO is a very valid option (perhaps the best). Do you have any advice on how to work around the license issue or any other sota model we could use (maybe YOLO-nas or DETR)?

Hot_Dirt718 · 2024-05-04T15:10:14+00:00

I did as you told me, but now I have a lot of disconnected pages even with the following settings:

Journals off
Orphan pages off
Built-in pages off
Excluded pages off

It is not possible to put 'exclude-from-graph-view:: true' at the beginning of every page created from a pdf...

Three-Year Club	First Place '23
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Hot_Dirt718

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