pkg> add Darknet  # Press ']' to enter the Pkg REPL mode.

using Darknet, Images
d = "/path/to/weights_and_config_files/"
weightsfile = "yolov3-tiny.weights"
cfgfile = "yolov3-tiny.cfg"
datafile = "coco.data"

imagefile = "/path/to/images/test.jpg"

net = Darknet.load_network(joinpath(d,cfgfile), joinpath(d,weightsfile),1)
meta = Darknet.get_metadata(joinpath(d,datafile));

# Read image using Darknet method
img = load(imagefile)  #Image for plotting in julia purposes only (below)
img_d = Darknet.load_image_color(imagefile,0,0);  #Darknet native way to read in image from file. Produces an image type with pointers

# Send image via an image in julia memory
img = convert(Array{Float32}, load(imagefile)) #Read in array via a julia method
img_d = Darknet.array_to_image(img) #Darknet image type with pointers to source data

img = convert(Array{Float32}, load(imagefile)) #Read in array via a julia method

# Darknet flips the first 2 dims of an image (cols,rows,colorchannels)
# so preallocate a permuted dims array to prevent reallocation in 
if size(img,3) > 1 #if more than 1 color channel 
    img_permuted = Array{Float32}(undef,size(img,2),size(img,1),size(img,3)) 
else
    img_permuted = Array{Float32}(undef,size(img,2),size(img,1)) 
end

img_d = Darknet.array_to_image(img,img_permuted) #Darknet image type with pointers to source data

results = Darknet.detect(net,meta,img_d,thresh=0.1,nms=0.3)

using Makie, GeometryTypes
scene = Scene(resolution = size(img'))
image!(scene,img',scale_plot = false)

for res in results
    bbox = res[3]
    poly!(scene,[Rectangle{Float32}(bbox[1]-(bbox[3]/2),bbox[2]-(bbox[4]/2),bbox[3],bbox[4])],color=RGBA(0,1,0,clamp(conf,0.05,0.5)))
end
scene