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AutoClass3D/main.py
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from pathlib import Path | |
import subprocess | |
from glob import glob | |
from loguru import logger | |
import argparse | |
import os | |
from map_utils import calc_map_ccc, calculate_fsc | |
if __name__ == "__main__": | |
logger.add("AutoClass3D.log") | |
parser = argparse.ArgumentParser() | |
parser.add_argument("-F", nargs="+", type=str, help="List of input mrc files", required=True) | |
parser.add_argument("-G", type=str, help="GPU ID to use for prediction", required=False, default="") | |
parser.add_argument("-J", type=str, help="Job name / output folder name", required=True) | |
parser.add_argument("-B", type=int, help="Batch size to use", required=False, default=4) | |
args = parser.parse_args() | |
logger.info("Input job folder path: ", args.F) | |
CRYOREAD_PATH = "./CryoREAD/main.py" | |
# mrc_files = glob(args.F + "/*.mrc") | |
mrc_files = args.F | |
# check if files exists | |
for mrc_file in mrc_files: | |
if not os.path.exists(mrc_file): | |
logger.error("Input mrc file not found: " + mrc_file) | |
exit(1) | |
OUTDIR = str(Path("./CryoREAD_Predict_Result").absolute() / args.J) | |
os.makedirs(OUTDIR, exist_ok=True) | |
logger.info("MRC files count: " + str(len(mrc_files))) | |
logger.info("MRC files path:\n" + "\n".join(mrc_files)) | |
# run CryoREAD | |
map_list = [] | |
for mrc_file in mrc_files: | |
curr_out_dir = OUTDIR + "/" + Path(mrc_file).stem.split(".")[0] | |
seg_map_path = curr_out_dir + "/input_segment.mrc" | |
prot_prob_path = curr_out_dir + "/mask_protein.mrc" | |
if not os.path.exists(seg_map_path) or not os.path.exists(prot_prob_path): | |
logger.info(f"Running CryoREAD prediction on {mrc_file}") | |
cmd = [ | |
"python", | |
CRYOREAD_PATH, | |
"--mode=0", | |
f"-F={mrc_file}", | |
"--contour=0", | |
f"--gpu={args.G}", | |
f"--batch_size={args.B}", | |
f"--prediction_only", | |
f"--resolution=8.0", | |
f"--output={curr_out_dir}", | |
] | |
process = subprocess.Popen(cmd, shell=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE, | |
universal_newlines=True) | |
while True: | |
output = process.stdout.readline() | |
if output == "" and process.poll() is not None: | |
break | |
if output: | |
logger.info(output.strip()) # Log stdout | |
rc = process.poll() | |
while True: | |
err = process.stderr.readline() | |
if err == "" and process.poll() is not None: | |
break | |
if err: | |
logger.error(err.strip()) # Log stderr | |
try: | |
real_space_cc = calc_map_ccc(seg_map_path, prot_prob_path)[0] | |
except: | |
logger.warning("Failed to calculate real space CC, maybe the map is empty") | |
real_space_cc = 0.0 | |
try: | |
x, fsc, cutoff_05, cutoff_0143 = calculate_fsc(seg_map_path, prot_prob_path) | |
except: | |
logger.warning("Failed to calculate FSC, maybe the map is empty") | |
cutoff_05 = 0.0 | |
map_list.append([mrc_file, real_space_cc, cutoff_05]) | |
map_list.sort(key=lambda x: x[1], reverse=True) | |
for idx, (mrc_file, real_space_cc, golden_standard_fsc) in enumerate(map_list): | |
if idx == 0: | |
logger.opt(colors=True).info( | |
"Input map: " | |
+ f"<blue>{mrc_file}</blue>" | |
+ ", Real space CC: " | |
+ f"<blue>{real_space_cc:.4f}</blue>" | |
+ ", Golden standard FSC: " | |
+ f"<blue>{golden_standard_fsc:.4f}</blue>" | |
) | |
else: | |
logger.opt(colors=True).info( | |
"Input map: " | |
+ mrc_file | |
+ ", Real space CC: " | |
+ f"{real_space_cc:.4f}" | |
+ ", Golden standard FSC: " | |
+ f"{golden_standard_fsc:.4f}" | |
) |