Here is how you can debug your model using vscode. Install python extension (The one that has more than 57 million downloads) Select python interpreter. If you are using a virtual environment, select the python.exe inside of your virtual environment…
When testing out your model’s output for computer vision tasks, you’ll need to apply the same preprocessing methods you’ve applied during training, to the images you want to test out. Here is one way to implement. Import Images from PIL…
Depending on the loss function, you might need to change the data structure of the tensor coming out from the model. In my case, I’m currently doing a binary semantic segmentation using pytorch, and the output of the model is…
I’ve learned that, for semantic segmentation, the Binary Cross Entropy as the loss function, instead of MSE, might be the one to first test out. Motivation When you check the derivative for MSE(Mean Squared Error)’s cost function, you’ll notice that…
Labeling 3d data points manually can be time-consuming and has a high chance of mistaking. So instead of labeling each point like the picture on the left side, using clustering can help you group similar data points first and then…
Deciding a metric when evaluating a ML project can be difficult. From an engineer’s perspective, they might want to optimize, word-level accuracy or query-level accuracy. On the other hand, for a businessmen’s perspective, they’d rather focus on revenue and user-engagement.…
Andrew Ng proposed a scoping process for AI projects like the following. Brainstorm Business Problems (Not AI) Asking questions which are NOT AI problems can help you distinguish between the PROBLEM and the SOLUTION. You don’t know whether you should…
It’s my first time using, RealSense Depth Camera D435i, and so I’m excited about the potential of this camera! For example, it would make detection tasks much easier because you can literally distinguish between objects by the depth measured from…
Auxiliary Classifier is a classifier head which is not connected to the end of the network. This is helpful to improve convergence during training, because by having an output near the lower-level side of the network, the gradients can be…
Gnu-Screen can help your process keep running even when you disconnect from your gpu. This is useful when you are using ssh to connect to your GPU machine, AND the model training process is taking a LONG time. I mean,…