This is a good article. Does anyone have a feel on how easy it would be to port to Julia?
Looking at the github it makes use of many libraries which are already available in Julia
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Looks like this is implemented in Keras. You could give Keras.jl a try (GitHub - ayush1999/Keras.jl: Run keras models with a Flux backend). Karas has a model.to_json method to serialize a model to JSON. As long as the Keras model doesn’t have any Lambda layers you should be able to import it to Flux.jl using Karas.jl.
ImportError Traceback (most recent call last)
in ()
----> 1 from imageai.Detection import ObjectDetection
2 import os
3
4 execution_path = os.getcwd()
5
~\Anaconda3\lib\site-packages\imageai\Detection_init_.py in ()
----> 1 import cv2
2
3 from imageai.Detection.keras_retinanet.models.resnet import resnet50_retinanet
4 from imageai.Detection.keras_retinanet.utils.image import read_image_bgr, read_image_array, read_image_stream, preprocess_image, resize_image
5 from imageai.Detection.keras_retinanet.utils.visualization import draw_box, draw_caption
~\Anaconda3\lib\site-packages\cv2_init_.py in ()
1 import importlib
2
----> 3 from .cv2 import *
4 from .data import *
5
ImportError: DLL load failed: The specified module could not be found.
@Ponnoss Are you wanting to implement this in Python?
I am not familiar with Python on Windows 10 but it looks like you need to use Anaconda to install the data package