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Models-2/200.zip

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+oid sha256:56916d990272af4a64bf473bda939cba0d4d999e862641ff053925bfba374774
+size 1381066

Models-2/ema_0.9999_200000.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6dc2577a5595e210414f15cb51b278e638edf9ebd8bb04e09416bfac9847cb64
+size 454882797

Models-2/epoch=000135-002.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c599aa23fa016a9a9232b7c6cc7f8101807e7f98f3d15065df240df1829a6bcf
+size 3665421295

Models-2/fid.sh

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+#!/bin/sh
+
+#SBATCH --job-name=diff_test    # job name
+#SBATCH -p hgx2q                # partition (queue)
+#SBATCH -t 24:00:00             # time (D-HH:MM)
+#SBATCH --nodes=1
+#SBATCH -o slurm.%N.%j.out      # STDOUT
+#SBATCH -e slurm.%N.%j.err      # STDERR
+#SBATCH --gres=gpu:1
+
+
+module load python-3.7.4
+
+# Create env
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate polyps
+
+python fid.py
+

Models-2/prediction.sh

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+#!/bin/sh
+
+#SBATCH --job-name=diff_test	# job name
+#SBATCH -p hgx2q 		# partition (queue)
+#SBATCH -t 24:00:00 		# time (D-HH:MM)
+#SBATCH --nodes=1
+#SBATCH -o slurm.%N.%j.out 	# STDOUT
+#SBATCH -e slurm.%N.%j.err 	# STDERR
+#SBATCH --gres=gpu:1
+
+
+module load python-3.7.4
+
+# Create env
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate polyps
+
+cd /home/machacini/conditional-polyp-diffusion
+
+# Set params.
+MODEL_FLAGS="--image_size 256 --num_channels 128 --num_res_blocks 2 --num_heads 1 --learn_sigma True --use_scale_shift_norm False --attention_resolutions 16"
+DIFFUSION_FLAGS="--diffusion_steps 1000 --noise_schedule linear --rescale_learned_sigmas False --rescale_timesteps False"
+TRAIN_FLAGS="--lr 1e-4 --batch_size 8"
+
+# Train
+#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/0
+#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_000000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
+#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/50
+#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_050000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
+#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/100
+#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_100000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
+#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/150
+#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_150000.pt --output png $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
+#export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/200
+#python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_200000.pt --output png  $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000
+export OPENAI_LOGDIR=/home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/230
+python improved-diffusion/scripts/image_sample.py --model_path /home/machacini/improved-diffusion/models/mask/ema_0.9999_230000.pt --output png  $MODEL_FLAGS $DIFFUSION_FLAGS --num_samples 1000

Models-2/prediction_latent_samples.sh

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+#!/bin/sh
+
+#SBATCH --job-name=diff_test	# job name
+#SBATCH -p hgx2q 		# partition (queue)
+#SBATCH -t 24:00:00 		# time (D-HH:MM)
+#SBATCH --nodes=1
+#SBATCH -o slurm.%N.%j.out 	# STDOUT
+#SBATCH -e slurm.%N.%j.err 	# STDERR
+#SBATCH --gres=gpu:1
+
+
+module load python-3.7.4
+
+# Create env
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate polyps
+
+cd /home/machacini/conditional-polyp-diffusion
+
+# Predict
+python latent-diffusion/scripts/inference_mask.py samples_1000x256x256x3_29_post.png --samples=4 --ckpt_path=latent-diffusion/logs/2022-11-08T20-14-34_kvasir-ldm-vq4-/checkpoints/epoch=000135.ckpt
+python latent-diffusion/scripts/inference_mask.py samples_1000x256x256x3_132_post.png --samples=4 --ckpt_path=latent-diffusion/logs/2022-11-08T20-14-34_kvasir-ldm-vq4-/checkpoints/epoch=000135.ckpt
+python latent-diffusion/scripts/inference_mask.py samples_1000x256x256x3_252_post.png --samples=4 --ckpt_path=latent-diffusion/logs/2022-11-08T20-14-34_kvasir-ldm-vq4-/checkpoints/epoch=000135.ckpt
+python latent-diffusion/scripts/inference_mask.py samples_1000x256x256x3_636_post.png --samples=4 --ckpt_path=latent-diffusion/logs/2022-11-08T20-14-34_kvasir-ldm-vq4-/checkpoints/epoch=000135.ckpt

Models-2/predictions_latent_multiple.sh

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+#!/bin/sh
+
+#SBATCH --job-name=diff_test	# job name
+#SBATCH -p hgx2q 		# partition (queue)
+#SBATCH -t 24:00:00 		# time (D-HH:MM)
+#SBATCH --nodes=1
+#SBATCH -o slurm.%N.%j.out 	# STDOUT
+#SBATCH -e slurm.%N.%j.err 	# STDERR
+#SBATCH --gres=gpu:1
+
+
+module load python-3.7.4
+
+# Create env
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate polyps
+
+cd /home/machacini/conditional-polyp-diffusion
+
+# Predict
+python latent-diffusion/scripts/inference_pipe.py --ckpt_path=latent-diffusion/logs/2022-11-08T20-14-34_kvasir-ldm-vq4-/checkpoints/epoch=000922.ckpt

Models-2/results_135.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e1abe1bf009d73c528683142e657f7c4c85696a228e28af6212c9dd01814b345
+size 84351110

Models-2/similarity.sh

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+#!/bin/sh
+
+#SBATCH --job-name=diff_test	# job name
+#SBATCH -p hgx2q 		# partition (queue)
+#SBATCH -t 24:00:00 		# time (D-HH:MM)
+#SBATCH --nodes=1
+#SBATCH -o slurm.%N.%j.out 	# STDOUT
+#SBATCH -e slurm.%N.%j.err 	# STDERR
+#SBATCH --gres=gpu:1
+
+
+module load python-3.7.4
+
+# Create env
+source ~/miniconda3/etc/profile.d/conda.sh
+conda activate polyps
+
+cd /home/machacini/conditional-polyp-diffusion
+
+python improved-diffusion/scripts/image_compare.py /home/machacini/conditional-polyp-diffusion/Kvasir-SEG/masks /home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/0
+python improved-diffusion/scripts/image_compare.py /home/machacini/conditional-polyp-diffusion/Kvasir-SEG/masks /home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/50
+python improved-diffusion/scripts/image_compare.py /home/machacini/conditional-polyp-diffusion/Kvasir-SEG/masks /home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/100
+python improved-diffusion/scripts/image_compare.py /home/machacini/conditional-polyp-diffusion/Kvasir-SEG/masks /home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/150
+python improved-diffusion/scripts/image_compare.py /home/machacini/conditional-polyp-diffusion/Kvasir-SEG/masks /home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/200
+python improved-diffusion/scripts/image_compare.py /home/machacini/conditional-polyp-diffusion/Kvasir-SEG/masks /home/machacini/conditional-polyp-diffusion/improved-diffusion/models/mask/230
+
+