diff --git a/compute_features.py b/compute_features.py
index 0fb81d851a4862afdbdabe18c8099b485fc5476c..958e47f89dca4ea4ebc04d910b9204f8bcd2dca0 100644
--- a/compute_features.py
+++ b/compute_features.py
@@ -140,24 +140,18 @@ def process_compute(data_name, camera, camera_resized, new_size, Nb_camera, Worl
for scenario_loop in scenarios:
if not destination_folders[scenario_loop] == "dont_save" :
np.save(f'{data_name}/{destination_folders[scenario_loop]}/{categories}/Pose_transformed/{p}.npy', num_arr) # save
- else:
- continue
if data_Bbox_2d[k]['id'] == categories_occ_array[categories][0]:
bbox = bbox_2d(data_Bbox_2d[k])
for scenario_loop in scenarios:
if not destination_folders[scenario_loop] == "dont_save" :
np.savetxt(f'{data_name}/{destination_folders[scenario_loop]}/{categories}/Bbox/{p}.txt', np.array(bbox).reshape((1, 4))) # save
- else:
- continue
if data_Bbox_3d[k]['id'] == categories_occ_array[categories][0]:
bbox3d_size = data_Bbox_3d[k]['bbox']['size']
for scenario_loop in scenarios:
if not destination_folders[scenario_loop] == "dont_save" :
np.savetxt(f'{data_name}/{destination_folders[scenario_loop]}/{categories}/Bbox_3d_Gen/{p}.txt', bbox3d_size) # save
- else:
- continue
id = categories_occ_array[categories][0]
img = cv2.imread(f"{data_name}/Instance_Segmentation/{p}.png", cv2.IMREAD_UNCHANGED) # plt.imread(path)
@@ -173,6 +167,8 @@ def process_compute(data_name, camera, camera_resized, new_size, Nb_camera, Worl
image = cv2.imread(f"{data_name}/{destination_folders[scenario_loop]}/{categories}/Instance_Mask/{p}.png", 0)
image = image/255.0
contours, _ = cv2.findContours(image.astype(np.uint8), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
+ if len(contours) > 1 :
+ continue
for l in range(len(contours[0])):
x = contours[0][l][0][0]/640.0
res.append(x)
diff --git a/main.py b/main.py
index 4bc5e6c27db72c4a9c32797a0ee6fdafd2927d20..8405c9c241a7f9c43bcce957654d0e6a3c6e221c 100644
--- a/main.py
+++ b/main.py
@@ -60,6 +60,8 @@ if __name__ == '__main__':
parser.add_argument('--Nb_worlds', type=int, required=True)
parser.add_argument('--World_begin', type=int, required=True)
parser.add_argument('--dataset_id', type=str, required=True)
+ parser.add_argument('--rearrange', type=bool, required=True)
+ parser.add_argument('--compute', type=bool, required=True)
# Parse the argument
args = parser.parse_args()
@@ -70,7 +72,7 @@ if __name__ == '__main__':
Nb_instance = 1
occ_target = 0.5
- dataset_src = f"/gpfsscratch/rech/uli/ubn15wo/dataset{args.dataset_id}/s2rg/Fruits_all_medium/data/"
+ dataset_src = f"/gpfsscratch/rech/uli/ubn15wo/data{args.dataset_id}"
#dataset_src = "/media/mahmoud/E/Fruits_easy/data"
#dataset_src = "/media/gduret/DATA/dataset/s2rg/Fruits_all_medium/data"
@@ -78,7 +80,8 @@ if __name__ == '__main__':
data_options = {"high": "ground_truth_rgb",
"low": "ground_truth_depth"}
dataset_type = data_options[choice]
- dataset_name = f"/gpfsscratch/rech/uli/ubn15wo/dataset{args.dataset_id}/s2rg/Fruits_all_medium/GUIMOD_{choice}"
+ dataset_name = f"/gpfsscratch/rech/uli/ubn15wo/GUIMOD_New_{choice}_{args.dataset_id}"
+ #dataset_name = f"/gpfsscratch/rech/uli/ubn15wo/dataset_new{args.dataset_id}/s2rg/Fruits_all_medium/GUIMOD_{choice}"
list_categories = ["banana1", "kiwi1", "pear2", "apricot", "orange2", "peach1", "lemon2", "apple2" ]
Nb_camera = 15
#Nb_world = 10000
@@ -108,7 +111,8 @@ if __name__ == '__main__':
#np.savetxt(f'{dataset_name}/Generated/camera_{choice}.txt', camera)
- #reform_data(dataset_src, dataset_name, dataset_type, Nb_camera, args.World_begin, args.Nb_worlds)
+ if args.rearrange :
+ reform_data(dataset_src, dataset_name, dataset_type, Nb_camera, args.World_begin, args.Nb_worlds)
objs = {"banana1": [ 0.02949700132012367249, 0.1511049866676330566, 0.06059300713241100311 ],
"kiwi1": [ 0.04908600077033042908, 0.07206099480390548706, 0.04909799993038177490 ],
@@ -138,5 +142,6 @@ if __name__ == '__main__':
bbox = get_3D_bbox(ext)
np.savetxt(f'{dataset_name}/Generated/{categories}/{categories}_bbox_3d.txt', bbox) # save
- process_compute(dataset_name, camera, new_camera, new_size, Nb_camera, args.World_begin, args.Nb_worlds, list_categories, occ_target, False)
+ if args.compute :
+ process_compute(dataset_name, camera, new_camera, new_size, Nb_camera, args.World_begin, args.Nb_worlds, list_categories, occ_target, False)
diff --git a/prepare_data.py b/prepare_data.py
index 8830d80b2bb81de78255b57eb7ea04cdd77ea24c..4fded51df59985d9d1ebf9e6b5aff7c94386d45e 100644
--- a/prepare_data.py
+++ b/prepare_data.py
@@ -8,6 +8,7 @@ def reform_data(src, data_name, data_option, Nb_camera, World_begin, Nb_world):
shutil.copy(src_meta, dst_meta)
for j in range(1, Nb_camera+1): # cameras
count = ((i-1)*Nb_camera) + j
+ print(count)
if data_option == "ground_truth_rgb":
files_img = os.listdir(f"{src}/{i}/grabber_{j}/color/image/")
src_img = f"{src}/{i}/grabber_{j}/color/image/{files_img[0]}"
diff --git a/slurm/process_dataset.slurm b/slurm/process_dataset.slurm
index 3be8940e55fb4f2e11066ef016ca4cf5a164ab2b..65a93b9d7c889b59781ee381bb74c47ad040a1cf 100644
--- a/slurm/process_dataset.slurm
+++ b/slurm/process_dataset.slurm
@@ -20,7 +20,8 @@ cd ${SLURM_SUBMIT_DIR}
module purge
# chargement des modules
-
+module load python/3.7.10
+
# echo des commandes lancées
set -x
@@ -29,7 +30,11 @@ set -x
id_begin=$1
Nb=$2
+id_dataset=$3
+rearrange=$4
+compute=$5
-time(python3.6 main.py --World_begin="$id_begin" --Nb_world="$Nb")
+conda activate stvNet
+time(python main.py --World_begin="$id_begin" --Nb_world="$Nb" --dataset_id="$id_dataset" --rearrange=$rearrange --compute=$compute)