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run_sample_coco.py
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run_sample_coco.py
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import argparse
import os
import numpy as np
import os.path as osp
from misc import pyutils
if __name__ == '__main__':
def str2bool(v):
if isinstance(v, bool):
return v
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Boolean value expected.')
parser = argparse.ArgumentParser()
# Environment
# parser.add_argument("--num_workers", default=os.cpu_count()//2, type=int)
parser.add_argument("--num_workers", default=12, type=int)
parser.add_argument("--mscoco_root", default='../MSCOCO/', type=str, help="Path to MSCOCO")
parser.add_argument("--num_classes", default=80, type=int)
# Class Activation Map
parser.add_argument("--cam_network", default="net.resnet50_cam", type=str)
parser.add_argument("--feature_dim", default=2048, type=int)
parser.add_argument("--cam_crop_size", default=512, type=int)
parser.add_argument("--cam_batch_size", default=16, type=int)
parser.add_argument("--cam_num_epoches", default=5, type=int)
parser.add_argument("--cam_learning_rate", default=0.1, type=float)
parser.add_argument("--cam_weight_decay", default=1e-4, type=float)
parser.add_argument("--cam_eval_thres", default=0.15, type=float)
parser.add_argument("--cam_scales", default=(1.0, 0.5, 1.5, 2.0),
help="Multi-scale inferences")
# ReCAM
parser.add_argument("--recam_num_epoches", default=4, type=int)
parser.add_argument("--recam_learning_rate", default=0.0005, type=float)
parser.add_argument("--recam_loss_weight", default=0.1, type=float)
parser.add_argument("--recam_batch_size", default=6, type=int)
# Mining Inter-pixel Relations
parser.add_argument("--conf_fg_thres", default=0.35, type=float)
parser.add_argument("--conf_bg_thres", default=0.1, type=float)
# Inter-pixel Relation Network (IRNet)
parser.add_argument("--irn_network", default="net.resnet50_irn", type=str)
parser.add_argument("--irn_crop_size", default=512, type=int)
parser.add_argument("--irn_batch_size", default=32, type=int)
parser.add_argument("--irn_num_epoches", default=3, type=int)
parser.add_argument("--irn_learning_rate", default=0.1, type=float)
parser.add_argument("--irn_weight_decay", default=1e-4, type=float)
# Random Walk Params
parser.add_argument("--beta", default=10)
parser.add_argument("--exp_times", default=8,
help="Hyper-parameter that controls the number of random walk iterations,"
"The random walk is performed 2^{exp_times}.")
parser.add_argument("--ins_seg_bg_thres", default=0.25)
parser.add_argument("--sem_seg_bg_thres", default=0.25)
# Output Path
parser.add_argument("--work_space", default="result_default5", type=str) # set your path
parser.add_argument("--log_name", default="sample_train_eval", type=str)
parser.add_argument("--cam_weights_name", default="res50_cam.pth", type=str)
parser.add_argument("--irn_weights_name", default="res50_irn.pth", type=str)
parser.add_argument("--cam_out_dir", default="cam_mask", type=str)
parser.add_argument("--ir_label_out_dir", default="ir_label", type=str)
parser.add_argument("--sem_seg_out_dir", default="sem_seg", type=str)
parser.add_argument("--ins_seg_out_dir", default="ins_seg", type=str)
parser.add_argument("--recam_weight_dir", default="recam_weight", type=str)
# Step
parser.add_argument("--train_cam_pass", type=str2bool, default=False)
parser.add_argument("--train_recam_pass", type=str2bool, default=False)
parser.add_argument("--make_cam_pass", type=str2bool, default=False)
parser.add_argument("--make_recam_pass", type=str2bool, default=False)
parser.add_argument("--eval_cam_pass", type=str2bool, default=False)
parser.add_argument("--cam_to_ir_label_pass", type=str2bool, default=False)
parser.add_argument("--train_irn_pass", type=str2bool, default=False)
parser.add_argument("--make_ins_seg_pass", type=str2bool, default=False)
parser.add_argument("--eval_ins_seg_pass", type=str2bool, default=False)
parser.add_argument("--make_sem_seg_pass", type=str2bool, default=False)
parser.add_argument("--eval_sem_seg_pass", type=str2bool, default=False)
args = parser.parse_args()
args.log_name = osp.join(args.work_space,args.log_name)
args.cam_weights_name = osp.join(args.work_space,args.cam_weights_name)
args.irn_weights_name = osp.join(args.work_space,args.irn_weights_name)
args.cam_out_dir = osp.join(args.work_space,args.cam_out_dir)
args.ir_label_out_dir = osp.join(args.work_space,args.ir_label_out_dir)
args.sem_seg_out_dir = osp.join(args.work_space,args.sem_seg_out_dir)
args.ins_seg_out_dir = osp.join(args.work_space,args.ins_seg_out_dir)
args.recam_weight_dir = osp.join(args.work_space,args.recam_weight_dir)
os.makedirs(args.work_space, exist_ok=True)
os.makedirs(args.cam_out_dir, exist_ok=True)
os.makedirs(args.ir_label_out_dir, exist_ok=True)
os.makedirs(args.sem_seg_out_dir, exist_ok=True)
os.makedirs(args.ins_seg_out_dir, exist_ok=True)
os.makedirs(args.recam_weight_dir, exist_ok=True)
pyutils.Logger(args.log_name + '.log')
print(vars(args))
if args.train_cam_pass is True:
import step_coco.train_cam
timer = pyutils.Timer('step.train_cam:')
step_coco.train_cam.run(args)
if args.train_recam_pass is True:
import step_coco.train_recam
timer = pyutils.Timer('step.train_recam:')
step_coco.train_recam.run(args)
if args.make_cam_pass is True:
import step_coco.make_cam
timer = pyutils.Timer('step.make_cam:')
step_coco.make_cam.run(args)
if args.make_recam_pass is True:
import step_coco.make_recam
timer = pyutils.Timer('step.make_recam:')
step_coco.make_recam.run(args)
if args.eval_cam_pass is True:
import step_coco.eval_cam
timer = pyutils.Timer('step.eval_cam:')
step_coco.eval_cam.run(args)
if args.cam_to_ir_label_pass is True:
import step_coco.cam_to_ir_label
timer = pyutils.Timer('step.cam_to_ir_label:')
step_coco.cam_to_ir_label.run(args)
if args.train_irn_pass is True:
import step_coco.train_irn
timer = pyutils.Timer('step.train_irn:')
step_coco.train_irn.run(args)
if args.make_sem_seg_pass is True:
import step_coco.make_sem_seg_labels
args.sem_seg_bg_thres = float(args.sem_seg_bg_thres)
timer = pyutils.Timer('step.make_sem_seg_labels:')
step_coco.make_sem_seg_labels.run(args)
if args.eval_sem_seg_pass is True:
import step_coco.eval_sem_seg
timer = pyutils.Timer('step.eval_sem_seg:')
step_coco.eval_sem_seg.run(args)