I'm getting the following warnings in Colab after trying to use napari and I'm not too sure how to fix them:
Is napari compatible with Google Colab or would it be better to use something else? I find it strange that the final warning states at the Qt platform has been found but could not be loaded. Any ideas?
Related
'm trying to create a object detection module using YOLO V5 following this tutorial YT Link
In this they have used google colab but I want to create it on jupyter note book.
I get the below error when trying to get and read through the data set from roboflow. Please help!
and please tell me how to unzip the file manually(without using a link) and import it into jupyter touse in the for loop !
I have a Deep Learning Code for Object Detection. What I did is that I ran the code on Google Colab and then Exported the model to use it locally. Now to run the model I have to again install whole Tensorflow package which is quite heavy for my system.
I want to ask if there is a way to download and run only specific parts of Tensorflow Library?
I am using Tensorflow at only 2 places in my code and I have to install whole Tensorflow library for it.
This is where I am loading the model.
detect_fn = tf.saved_model.load(PATH_TO_SAVED_MODEL)
This is where I am using Tensorflow 2nd time.
input_tensor = tf.convert_to_tensor(image_rgb)
These are the only 2 functions required to me from the Tensorflow Library and not the whole library... Thanks in anticipation.
Though I'm not entirely sure on the library as a whole, there is a Lite version of Tensorflow (I guess they realised 430MB is a bit much too).
Information regarding this can be found here:
https://www.tensorflow.org/lite/
A guide here seems to detail how to pick and choose parts of the Lite library and although not used myself, I should expect some degree of compatibility between the two...
https://www.tensorflow.org/lite/guide/reduce_binary_size
I am trying to build an Image classifier with keras and tensorflow. However currently flow_from_directory does not see my images due to them being in .gif format (I checked this with .jpg and it works here). How can I fix this?
This old github page claims that I should be able to put .gif on my white_list_formats in the keras/preprocessing/image.py file. But after opening it there seems to be no white_list_formats in my version of image.py. Did keras change anything here?
I'm on Windows using anaconda3 distribution in case that matters.
Thanks for your help!
The github post you are referring to was posted for keras version 1.1.0. In the latest version they have removed that variable.
In the latest version of Keras, below formats are only supported.
PNG, JPG, BMP, PPM, TIF
Please refer to the this for documentation.
If you still want to try and edit white_list_format, please install keras 1.1.0 and try it.
I am executing an image classification program in google colab and I need to write some text on the image. But it is showing the following error. I don't know how to install these font libraries.
Screenshot:
I'm trying to run this notebook on Google colab in cloud. I'm following these installation instructions linked there but I cannot figure out what am I doing wrong that object_detection is undefined. I do not get any errors while installing libraries or during COCO API installation. How do I import object_detection correctly?
Are you sure that your object detection directory is in your drive and you are using the correct path while importing it?