The way you deliver those complicated topics, is just so wondering sir. Do keep it up and support the education for all community. Love from A Supportive Subscriber 😊
why i am getting this warning? WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model. how to solve it?
Sir, do you believe the GAN would also do a good job in the other direction? Like, segmenting and generating masks from real data? Would it outperform the „simple“ UNET approach?
Dear Sir, thank you very much for your VDO. Your VDOs in GAN series help me a lot. I just wonder that images according to code in lines 50-60 are not the corresponding images. Could you please give me some advice?
Sir, I'm using mask as a gray scale image, but pix2pix_model.py, takes input src images(mask) as rgb..So, can uh please tell me what modification i need to do in pix2pix_model.py so that i can process with grayscale mask images..? Please, reply soon..
You need to change the input dimensions to begin with but there are many other places you may have to keep an eye on. The easiest approach may be to read your masks as rgb instead of gray. That way it makes it easy for you to benefit from the existing code.
Hi sir, iam a beginner in python and GAN.. if i want to do this in colab, here 2 .py files are there .. first i should run model.py and then sandstone.py right?
Sir, very nice work but i am leaving this field. Competition is high not getting enough amount for my work. I think after 2019 money in ml is hard to earn.
This contradicts our market research. Funding in AI based projects and startups is increasing exponentially every year. Also, individuals with ML skillset are highly sought after. I am primarily referring to western markets, not sure about Asian market situation but it is safe to assume that the world is moving in this direction.
The way you deliver those complicated topics, is just so wondering sir. Do keep it up and support the education for all community.
Love from A Supportive Subscriber 😊
Thank you very much :)
Sir, very good explanation. How do you create the mask images for all the original images?
Hi. man, amazing videos. Can you advise me how to do predictions in time series data from Satellites with GAN?
Sir, Are you possible same species animal photographs move to folderwise ?
why i am getting this warning?
WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.
how to solve it?
interesting course think you
can you help us to explain how adapt pretrained stylegan and biggan using our data?
Sir, do you believe the GAN would also do a good job in the other direction? Like, segmenting and generating masks from real data? Would it outperform the „simple“ UNET approach?
Dear Sir, thank you very much for your VDO. Your VDOs in GAN series help me a lot. I just wonder that images according to code in lines 50-60 are not the corresponding images. Could you please give me some advice?
Sir, do you have any tutorial which can generated unseen family member pic ( like grandpa) from living family member pics?
No. I would not trust if anyone claims to do that.
@@DigitalSreeni I heard there is FamilyGAN. Do you have any idea sir?
Merci !
Thank you very much.
Sir, I'm using mask as a gray scale image, but pix2pix_model.py, takes input src images(mask) as rgb..So, can uh please tell me what modification i need to do in pix2pix_model.py so that i can process with grayscale mask images..?
Please, reply soon..
You need to change the input dimensions to begin with but there are many other places you may have to keep an eye on. The easiest approach may be to read your masks as rgb instead of gray. That way it makes it easy for you to benefit from the existing code.
do this:
n_samples = 3
for i in range(n_samples):
plt.subplot(2, n_samples, 1 + i)
plt.axis('off')
plt.imshow(cv2.cvtColor(src_images[i], cv2.COLOR_BGR2GRAY))
plt.imshow(cv2.cvtColor(src_images[i], cv2.COLOR_BGR2GRAY), cmap='jet')
# plot target image
for i in range(n_samples):
plt.subplot(2, n_samples, 1 + n_samples + i)
plt.axis('off')
plt.imshow(tar_images[i])
plt.show()
Hi sir, iam a beginner in python and GAN.. if i want to do this in colab, here 2 .py files are there .. first i should run model.py and then sandstone.py right?
In case anybody interested, i had a project, pollen segmentation, classification and comparison
Give me quotation
Sir, very nice work but i am leaving this field. Competition is high not getting enough amount for my work. I think after 2019 money in ml is hard to earn.
This contradicts our market research. Funding in AI based projects and startups is increasing exponentially every year. Also, individuals with ML skillset are highly sought after. I am primarily referring to western markets, not sure about Asian market situation but it is safe to assume that the world is moving in this direction.