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Line detection issue – OpenCV in Python

I have written the following script with which I aim to detect lines in Gazebo (a simulation environment): The code is integrated in ROS, so please focus your attention at the image_callback function. My issue is that the line that I want to detect is quite noisy and I cannot figure out how to detect it correctly. To be more

Tensorflow Keras evaluate method return a empty list

Hello i am follow the time series forecasting tutorial in tensorflow https://www.tensorflow.org/tutorials/structured_data/time_series, I have the same project, the only difference is that I am using a different dataset, when evaluating the models, the model.evaluate () method returns an empty list, it does not return a value. When the model is trained with the fit() method, evaluation values are generated in

Iterative summation

I’m trying to write a python code that allows me to iteratively sum up the average values of three elements of a list, starting with the third element and its two predecessors. Let me give you an example: I want to calculate the following: Since I’m quite new to programming I couldn’t find an effective way of putting this into

Can’t find SpaCy model when packaging with PyInstaller

I am using PyInstaller package a python script into an .exe. This script is using spacy to load up the following model: en_core_web_sm. I have already run python -m spacy download en_core_web_sm to download the model locally. The issue is when PyInstaller tries to package up my script it can’t find the model. I get the following error: Can’t find

Pandas dataframe diff between rows with column offset

I have a Dataframe with the following structure time_start time_end label time time + 1 action time + 1 time + 2 some_other_action I would like to take see the diff of time_start and previous row time_end. in this case (time + 1) – (time + 1) = 0 I have tried df.diff, but that only yields the diff within

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