problem in running generate_gt.py,

[hyh16601377106]

(py379) peter@DESKTOP-A5F108R:~/code/NeuralRecon/NeuralRecon-master$ python tools/tsdf_fusion/generate_gt.py --data_path /home/peter/code/NeuralRecon/scannet --save_name all_tsdf_9 --window_size 9 Traceback (most recent call last): File "tools/tsdf_fusion/generate_gt.py", line 275, in files = split_list(files, all_proc) File "tools/tsdf_fusion/generate_gt.py", line 231, in split_list assert len(_list) >= n AssertionError

[hyh16601377106]

我回来了，发现那段源码是'intrinsic_depth.txt'，我下载的数据中的文件名intrinsics_depth.txt，就差个s，现在运行出现了ValueError: could not convert string to float: [`C:\Users\25717\AppData\Local\Microsoft\WindowsApps\ubuntu1804.exe])) run "export PYTHONUNBUFFERED=1 && export PYTHONIOENCODING=UTF-8 && export \"PYTHONPATH=/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master:/mnt/e/9-python/2-SoftWareSpace/pycharm/PyCharm 2020.2/plugins/python/helpers/pycharm_matplotlib_backend:/mnt/e/9-python/2-SoftWareSpace/pycharm/PyCharm 2020.2/plugins/python/helpers/pycharm_display\" && export PYCHARM_HOSTED=1 && export PYCHARM_DISPLAY_PORT=63342 && cd /mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion && /home/peter/miniconda3/envs/py379/bin/python /mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py --save_name all_tsdf_9 --window_size 9" Traceback (most recent call last): File "/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py", line 285, in results = ray.get(ray_worker_ids) File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper return func(*args, **kwargs) File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/ray/worker.py", line 1831, in get raise value.as_instanceof_cause() ray.exceptions.RayTaskError(ValueError): ray::process_with_single_worker() (pid=419, ip=172.22.129.146) File "/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py", line 214, in process_with_single_worker cam_intr = np.loadtxt(intrinsic_dir, delimiter=' ')[:3, :3] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1148, in loadtxt for x in read_data(_loadtxt_chunksize): File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 999, in read_data items = [conv(val) for (conv, val) in zip(converters, vals)] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 999, in items = [conv(val) for (conv, val) in zip(converters, vals)] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 736, in floatconv return float(x) ValueError: could not convert string to float: 0%| | 0/6 [00:00<?, ?it/s] 0%| | 0/7 [00:00<?, ?it/s] (process_with_single_worker pid=421) read from disk (process_with_single_worker pid=419) read from disk 0%| | 0/7 [00:00<?, ?it/s] (process_with_single_worker pid=420) read from disk 0%| | 0/6 [00:00<?, ?it/s] (process_with_single_worker pid=422) read from disk

Process finished with exit code 1`

[hyh16601377106]

不知道让不让发中文，我个菜鸟，经过我发现，generate_gt.py中现在
for w_idx in range(all_proc): ray_worker_ids.append(process_with_single_worker.remote(args, files[w_idx]))

print(ray_worker_ids)

# print(ray_worker_ids)
results = ray.get(ray_worker_ids)
print(results)

ray.get是不能运行，前面的会返回数组id，但是ray.get不会返回相应数组，经过我切换版本，也没找到解决方法，先提供思路到这里

[hyh16601377106]

补充一下，现在报错是这样： Traceback (most recent call last): File "/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py", line 287, in results = ray.get(ray_worker_ids) File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper return func(*args, **kwargs) File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/ray/worker.py", line 1625, in get raise value.as_instanceof_cause() ray.exceptions.RayTaskError(ValueError): ray::process_with_single_worker() (pid=7591, ip=172.22.136.148) File "/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py", line 214, in process_with_single_worker cam_intr = np.loadtxt(intrinsic_dir, dtype=float, delimiter=' ')[:3, :3] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1148, in loadtxt for x in read_data(_loadtxt_chunksize): File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 999, in read_data items = [conv(val) for (conv, val) in zip(converters, vals)] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 999, in items = [conv(val) for (conv, val) in zip(converters, vals)] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 736, in floatconv return float(x) ValueError: could not convert string to float: 0%| | 0/7 [00:00<?, ?it/s] (process_with_single_worker pid=7591) read from disk (process_with_single_worker pid=7597) read from disk (process_with_single_worker pid=7596) read from disk 0%| | 0/6 [00:00<?, ?it/s] 0%| | 0/7 [00:00<?, ?it/s] (process_with_single_worker pid=7598) read from disk 0%| | 0/6 [00:00<?, ?it/s]

Process finished with exit code 1

[LiuXiang199x]

补充一下，现在报错是这样： Traceback (most recent call last): File "/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py", line 287, in results = ray.get(ray_worker_ids) File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper return func(*args, **kwargs) File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/ray/worker.py", line 1625, in get raise value.as_instanceof_cause() ray.exceptions.RayTaskError(ValueError): ray::process_with_single_worker() (pid=7591, ip=172.22.136.148) File "/mnt/c/Users/25717/Desktop/NeuralRecon/NeuralRecon-master/tools/tsdf_fusion/generate_gt.py", line 214, in process_with_single_worker cam_intr = np.loadtxt(intrinsic_dir, dtype=float, delimiter=' ')[:3, :3] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 1148, in loadtxt for x in read_data(_loadtxt_chunksize): File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 999, in read_data items = [conv(val) for (conv, val) in zip(converters, vals)] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 999, in items = [conv(val) for (conv, val) in zip(converters, vals)] File "/home/peter/miniconda3/envs/py379/lib/python3.7/site-packages/numpy/lib/npyio.py", line 736, in floatconv return float(x) ValueError: could not convert string to float: 0%| | 0/7 [00:00<?, ?it/s] (process_with_single_worker pid=7591) read from disk (process_with_single_worker pid=7597) read from disk (process_with_single_worker pid=7596) read from disk 0%| | 0/6 [00:00<?, ?it/s] 0%| | 0/7 [00:00<?, ?it/s] (process_with_single_worker pid=7598) read from disk 0%| | 0/6 [00:00<?, ?it/s]

Process finished with exit code 1

generate_gt.py中 cam_intr = np.loadtxt(intrinsic_dir)[:3, :3] 去掉 delimiter=' '就行，他们源码读数据的numpy版本可能比较老，问题就在这，你读完数据其实已经是一个array了，不需要再“ ”来分开元素了。 PS：你后续也会碰到很多类似的问题，比如文件名，格式，还有pose下名字格式等等。。。。

[hyh16601377106]

我回来了，经过多天的运行发现，这个打标签的函数是按照原始文件从0到1开始读取的文件，所以他的id是从0到1，并不是我想象中的从文件读取文件名，所以当我们使用经过处理的文件时，它会提示找不到文件等等错误，所以当我们这种下载处理过的数据的时候，我们需要去项目的tools文件中找到simple_loader.py文件进行修改，防止有人看不懂，下面是我完整的代码，

`class ScanNetDataset(torch.utils.data.Dataset): """Pytorch Dataset for a single scene. getitem loads individual frames"""

def __init__(self, n_imgs, scene, data_path, max_depth, id_list=[]):
    """
    Args:
    """
    self.n_imgs = n_imgs
    self.scene = scene
    self.data_path = data_path
    self.max_depth = max_depth
    # if id_list is None:
       #self.id_list = [i for i in range(n_imgs)]
    for i in range(n_imgs):
        id_list += [str(i).rjust(4, '0') + '00']
    # else:
    self.id_list = id_list

def __len__(self):
    return self.n_imgs

def __getitem__(self, id):
    """
    Returns:
        dict of meta data and images for a single frame
    """
    id =self.id_list[id]
    cam_pose = np.loadtxt(os.path.join(self.data_path, self.scene, "pose", str(id) + ".txt"))#, delimiter=' '

    # Read depth image and camera pose
    depth_im = cv2.imread(os.path.join(self.data_path, self.scene, "depth", str(id) + ".png"), -1).astype(
        np.float32)
    depth_im /= 1000.  # depth is saved in 16-bit PNG in millimeters
    depth_im[depth_im > self.max_depth] = 0

    # Read RGB image
    color_image = cv2.cvtColor(cv2.imread(os.path.join(self.data_path, self.scene, "color", str(id) + ".jpg")),
                               cv2.COLOR_BGR2RGB)
    color_image = cv2.resize(color_image, (depth_im.shape[1], depth_im.shape[0]), interpolation=cv2.INTER_AREA)

    return cam_pose, depth_im, color_image

`

[ChengDabiao]

After completing the above modification proposal, the following problems occurred in operation：

`/home/chengwen/anaconda3/envs/neucon/bin/python3.7 /home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py --save_name all_tsdf_9 --window_size 9 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4461) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4451) read from disk (process_with_single_worker pid=4461) scene0000_02: read frame 0/62 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4460) read from disk (process_with_single_worker pid=4451) E0905 09:35:44.144559693 5315 chttp2_transport.cc:1103] Received a GOAWAY with error code ENHANCE_YOUR_CALM and debug data equal to "too_many_pings" (process_with_single_worker pid=4453) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4451) scene0000_00: read frame 0/56 (process_with_single_worker pid=4460) scene0002_00: read frame 0/52 (process_with_single_worker pid=4453) scene0001_01: read frame 0/13 (process_with_single_worker pid=4453) Initializing voxel volume... (process_with_single_worker pid=4462) read from disk 0%| | 0/48 [00:00<?, ?it/s] 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4454) read from disk (process_with_single_worker pid=4461) Initializing voxel volume... (process_with_single_worker pid=4452) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4459) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4456) read from disk (process_with_single_worker pid=4462) scene0000_01: read frame 0/60 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4451) Initializing voxel volume... Traceback (most recent call last): File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py", line 284, in results = ray.get(ray_worker_ids) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper return func(*args, **kwargs) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/ray/worker.py", line 1809, in get raise value.as_instanceof_cause() ray.exceptions.RayTaskError(ExecError): ray::process_with_single_worker() (pid=4453, ip=192.168.110.126) AttributeError: 'function' object has no attribute '_memoize_dic'

During handling of the above exception, another exception occurred:

ray::process_with_single_worker() (pid=4453, ip=192.168.110.126) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py", line 47, in call_capture_output stderr=PIPE) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/subprocess.py", line 800, in init restore_signals, start_new_session) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/subprocess.py", line 1551, in _execute_child raise child_exception_type(errno_num, err_msg, err_filename) FileNotFoundError: [Errno 2] No such file or directory: 'nvcc': 'nvcc'

During handling of the above exception, another exception occurred:

ray::process_with_single_worker() (pid=4453, ip=192.168.110.126) File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py", line 226, in process_with_single_worker save_tsdf_full(args, scene, cam_intr, depth_all, cam_pose_all, color_all, save_mesh=False) File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py", line 79, in save_tsdf_full tsdf_vol_list.append(TSDFVolume(vol_bnds, voxel_size=args.voxel_size * 2 * l, margin=args.margin)) File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/fusion.py", line 142, in init }""") File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 358, in init include_dirs, File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 298, in compile return compile_plain(source, options, keep, nvcc, cache_dir, target) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 93, in compile_plain checksum.update(get_nvcc_version(nvcc).encode("utf-8")) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/init.py", line 700, in wrapper result = func(args) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 16, in get_nvcc_version result, stdout, stderr = call_capture_output(cmdline) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py", line 221, in call_capture_output return forker.call_capture_output(cmdline, cwd, error_on_nonzero) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py", line 58, in call_capture_output raise ExecError("error invoking '{}': {}".format(" ".join(cmdline), e)) pytools.prefork.ExecError: error invoking 'nvcc --version': [Errno 2] No such file or directory: 'nvcc': 'nvcc' 0%| | 0/48 [00:01<?, ?it/s] 0%| | 0/47 [00:00<?, ?it/s] (process_with_single_worker pid=4460) Initializing voxel volume... (process_with_single_worker pid=4454) scene0003_01: read frame 0/17 (process_with_single_worker pid=4678) read from disk (process_with_single_worker pid=4452) scene0001_00: read frame 0/10 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4454) Initializing voxel volume... (process_with_single_worker pid=4459) scene0003_00: read frame 0/18 (process_with_single_worker pid=4678) scene0006_02: read frame 0/27

进程已结束,退出代码1`

[ChengDabiao]

我回来了，经过多天的运行发现，这个打标签的函数是按照原始文件从0到1开始读取的文件，所以他的id是从0到1，并不是我想象中的从文件读取文件名，所以当我们使用经过处理的文件时，它会提示找不到文件等等错误，所以当我们这种下载处理过的数据的时候，我们需要去项目的tools文件中找到simple_loader.py文件进行修改，防止有人看不懂，下面是我完整的代码，

`class ScanNetDataset(torch.utils.data.Dataset): """Pytorch Dataset for a single scene. getitem loads individual frames"""

def __init__(self, n_imgs, scene, data_path, max_depth, id_list=[]):
    """
    Args:
    """
    self.n_imgs = n_imgs
    self.scene = scene
    self.data_path = data_path
    self.max_depth = max_depth
    # if id_list is None:
       #self.id_list = [i for i in range(n_imgs)]
    for i in range(n_imgs):
        id_list += [str(i).rjust(4, '0') + '00']
    # else:
    self.id_list = id_list

def __len__(self):
    return self.n_imgs

def __getitem__(self, id):
    """
    Returns:
        dict of meta data and images for a single frame
    """
    id =self.id_list[id]
    cam_pose = np.loadtxt(os.path.join(self.data_path, self.scene, "pose", str(id) + ".txt"))#, delimiter=' '

    # Read depth image and camera pose
    depth_im = cv2.imread(os.path.join(self.data_path, self.scene, "depth", str(id) + ".png"), -1).astype(
        np.float32)
    depth_im /= 1000.  # depth is saved in 16-bit PNG in millimeters
    depth_im[depth_im > self.max_depth] = 0

    # Read RGB image
    color_image = cv2.cvtColor(cv2.imread(os.path.join(self.data_path, self.scene, "color", str(id) + ".jpg")),
                               cv2.COLOR_BGR2RGB)
    color_image = cv2.resize(color_image, (depth_im.shape[1], depth_im.shape[0]), interpolation=cv2.INTER_AREA)

    return cam_pose, depth_im, color_image

`

想问一下，我运行提示ray 库报错

[hyh16601377106]

我回来了，经过多天的运行发现，这个打标签的函数是按照原始文件从0到1开始读取的文件，所以他的id是从0到1，并不是我想象中的从文件读取文件名，所以当我们使用经过处理的文件时，它会提示找不到文件等等错误，所以当我们这种下载处理过的数据的时候，我们需要去项目的tools文件中找到simple_loader.py文件进行修改，防止有人看不懂，下面是我完整的代码，

`class ScanNetDataset(torch.utils.data.Dataset): """Pytorch Dataset for a single scene. getitem loads individual frames"""

def __init__(self, n_imgs, scene, data_path, max_depth, id_list=[]):
    """
    Args:
    """
    self.n_imgs = n_imgs
    self.scene = scene
    self.data_path = data_path
    self.max_depth = max_depth
    # if id_list is None:
       #self.id_list = [i for i in range(n_imgs)]
    for i in range(n_imgs):
        id_list += [str(i).rjust(4, '0') + '00']
    # else:
    self.id_list = id_list

def __len__(self):
    return self.n_imgs

def __getitem__(self, id):
    """
    Returns:
        dict of meta data and images for a single frame
    """
    id =self.id_list[id]
    cam_pose = np.loadtxt(os.path.join(self.data_path, self.scene, "pose", str(id) + ".txt"))#, delimiter=' '

    # Read depth image and camera pose
    depth_im = cv2.imread(os.path.join(self.data_path, self.scene, "depth", str(id) + ".png"), -1).astype(
        np.float32)
    depth_im /= 1000.  # depth is saved in 16-bit PNG in millimeters
    depth_im[depth_im > self.max_depth] = 0

    # Read RGB image
    color_image = cv2.cvtColor(cv2.imread(os.path.join(self.data_path, self.scene, "color", str(id) + ".jpg")),
                               cv2.COLOR_BGR2RGB)
    color_image = cv2.resize(color_image, (depth_im.shape[1], depth_im.shape[0]), interpolation=cv2.INTER_AREA)

    return cam_pose, depth_im, color_image

`

想问一下，我运行提示ray

ray版本是1.13.0，你再试试

[yuyingliu717]

After completing the above modification proposal, the following problems occurred in operation：

`/home/chengwen/anaconda3/envs/neucon/bin/python3.7 /home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py --save_name all_tsdf_9 --window_size 9 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4461) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4451) read from disk (process_with_single_worker pid=4461) scene0000_02: read frame 0/62 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4460) read from disk (process_with_single_worker pid=4451) E0905 09:35:44.144559693 5315 chttp2_transport.cc:1103] Received a GOAWAY with error code ENHANCE_YOUR_CALM and debug data equal to "too_many_pings" (process_with_single_worker pid=4453) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4451) scene0000_00: read frame 0/56 (process_with_single_worker pid=4460) scene0002_00: read frame 0/52 (process_with_single_worker pid=4453) scene0001_01: read frame 0/13 (process_with_single_worker pid=4453) Initializing voxel volume... (process_with_single_worker pid=4462) read from disk 0%| | 0/48 [00:00<?, ?it/s] 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4454) read from disk (process_with_single_worker pid=4461) Initializing voxel volume... (process_with_single_worker pid=4452) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4459) read from disk 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4456) read from disk (process_with_single_worker pid=4462) scene0000_01: read frame 0/60 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4451) Initializing voxel volume... Traceback (most recent call last): File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py", line 284, in results = ray.get(ray_worker_ids) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper return func(*args, **kwargs) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/ray/worker.py", line 1809, in get raise value.as_instanceof_cause() ray.exceptions.RayTaskError(ExecError): ray::process_with_single_worker() (pid=4453, ip=192.168.110.126) AttributeError: 'function' object has no attribute '_memoize_dic'

During handling of the above exception, another exception occurred:

ray::process_with_single_worker() (pid=4453, ip=192.168.110.126) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py", line 47, in call_capture_output stderr=PIPE) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/subprocess.py", line 800, in init restore_signals, start_new_session) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/subprocess.py", line 1551, in _execute_child raise child_exception_type(errno_num, err_msg, err_filename) FileNotFoundError: [Errno 2] No such file or directory: 'nvcc': 'nvcc'

During handling of the above exception, another exception occurred:

ray::process_with_single_worker() (pid=4453, ip=192.168.110.126) File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py", line 226, in process_with_single_worker save_tsdf_full(args, scene, cam_intr, depth_all, cam_pose_all, color_all, save_mesh=False) File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py", line 79, in save_tsdf_full tsdf_vol_list.append(TSDFVolume(vol_bnds, voxel_size=args.voxel_size * 2 l, margin=args.margin)) File "/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/fusion.py", line 142, in init }""") File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 358, in init include_dirs, File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 298, in compile return compile_plain(source, options, keep, nvcc, cache_dir, target) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 93, in compile_plain checksum.update(get_nvcc_version(nvcc).encode("utf-8")) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/init*.py", line 700, in wrapper result = func(args) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py", line 16, in get_nvcc_version result, stdout, stderr = call_capture_output(cmdline) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py", line 221, in call_capture_output return forker.call_capture_output(cmdline, cwd, error_on_nonzero) File "/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py", line 58, in call_capture_output raise ExecError("error invoking '{}': {}".format(" ".join(cmdline), e)) pytools.prefork.ExecError: error invoking 'nvcc --version': [Errno 2] No such file or directory: 'nvcc': 'nvcc' 0%| | 0/48 [00:01<?, ?it/s] 0%| | 0/47 [00:00<?, ?it/s] (process_with_single_worker pid=4460) Initializing voxel volume... (process_with_single_worker pid=4454) scene0003_01: read frame 0/17 (process_with_single_worker pid=4678) read from disk (process_with_single_worker pid=4452) scene0001_00: read frame 0/10 0%| | 0/48 [00:00<?, ?it/s] (process_with_single_worker pid=4454) Initializing voxel volume... (process_with_single_worker pid=4459) scene0003_00: read frame 0/18 (process_with_single_worker pid=4678) scene0006_02: read frame 0/27

进程已结束,退出代码1`

请问你这个问题解决了吗？

[hyh16601377106]

完成上述修改建议后，在运行中出现了以下问题： '/home/chengwen/anaconda3/envs/neucon/bin/python3.7 /home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py --save_name all_tsdf_9 --window_size 9 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4461） 从磁盘读取 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4451） 从磁盘读取 （process_with_single_worker pid=4461） scene0000_02：读取帧 0/62 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4460） 从磁盘读取 （process_with_single_worker pid=4451） E0905 09：35：44.144559693 5315 chttp2_transport.cc：1103] 收到错误代码 ENHANCE_YOUR_CALM 和调试数据等于“too_many_pings”（process_with_single_worker pid=4453） 从磁盘读取的 GOAWAY0%| |0/48 [00：00<?, ?它/秒] （process_with_single_worker pid=4451） scene0000_00：读取帧 0/56 （process_with_single_worker pid=4460） scene0002_00：读取帧 0/52 （process_with_single_worker pid=4453） scene0001_01：读取帧 0/13 （process_with_single_worker pid=4453） 正在初始化体素体积...（process_with_single_worker pid=4462） 从磁盘读取 0%| |0/48 [00：00<?, ?它/秒] 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4454） 从磁盘读取 （process_with_single_worker pid=4461） 正在初始化体素体积...（process_with_single_worker pid=4452） 从磁盘读取 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4459） 从磁盘读取 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4456） 从磁盘读取 （process_with_single_worker pid=4462） scene0000_01：读取帧 0/60 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4451） 正在初始化体素体积...回溯（最近一次调用）：文件 “/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py”，第 284 行，在 results = ray.get（ray_worker_ids） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/ray/_private/client_mode_hook.py”，第 105 行，在包装器返回函数（*args， kwargs） 文件中 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/ray/worker.py”， 第 1809 行，在 get raise value.as_instanceof_cause（） ray.exceptions.RayTaskError（ExecError）： ray：:p rocess_with_single_worker（） （pid=4453， ip=192.168.110.126） 属性错误：“函数”对象没有属性“_memoize_dic” 在处理上述异常期间，发生了另一个异常： ray：:p rocess_with_single_worker（） （pid=4453， ip=192.168.110.126） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py”，第 47 行，call_capture_output stderr=PIPE） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/subprocess.py”，第 800 行，在init*restore_signals 中，start_new_session） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/subprocess.py”，第 1551 行， 在_execute_child引发child_exception_type（errno_num、err_msg、err_filename） FileNotFoundError： [Errno 2] 没有这样的文件或目录： 'nvcc'： 'nvcc' 在处理上述异常期间，发生了另一个异常： ray：:p rocess_with_single_worker（） （pid=4453， ip=192.168.110.126） 文件 “/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py”，第 226 行，在 process_with_single_worker save_tsdf_full 中（args， scene， cam_intr， depth_all， cam_pose_all， color_all， save_mesh=False） 文件 “/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/generate_gt.py”，第 79 行，save_tsdf_full tsdf_vol_list.append（TSDFVolume（vol_bnds， voxel_size=args.voxel_size 2 l， margin=args.margin）） 文件 “/home/chengwen/NeuralRecon/NeuralRecon/tools/tsdf_fusion/fusion.py”，第 142 行，in init}“”“） 文件 ”/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py“，第 358 行，在init include_dirs 中，文件 ”/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py“，第 298 行，在编译返回compile_plain（来源， 选项，保持，NVCC，cache_dir，目标） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py”，第 93 行，compile_plain checksum.update（get_nvcc_version（nvcc）.encode（“utf-8”）） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/init*.py”， 第 700 行，包装结果 = func（args） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pycuda/compiler.py”， 第 16 行，在 get_nvcc_version 结果中，stdout， stderr = call_capture_output（cmdline） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py”，第 221 行，在 call_capture_output 返回forker.call_capture_output（cmdline、cwd、error_on_nonzero） 文件 “/home/chengwen/anaconda3/envs/neucon/lib/python3.7/site-packages/pytools/prefork.py”，第 58 行，call_capture_output引发 ExecError（“error invoking '{}'： {}“.format（” “.join（cmdline）， e）） pytools.prefork.ExecError： 错误调用 'nvcc --version'： [Errno 2] 没有这样的文件或目录： 'nvcc'： 'nvcc' 0%| |0/48 [00：01<?, ?它/秒] 0%| |0/47 [00：00<?, ?it/s] （process_with_single_worker pid=4460） 正在初始化体素体积...（process_with_single_worker pid=4454） scene0003_01：从磁盘读取帧 0/17 （process_with_single_worker pid=4678） （process_with_single_worker pid=4452） scene0001_00：读取帧 0/10 0%| |0/48 [00：00<?, ?it/s] （process_with_single_worker pid=4454） 正在初始化体素体积...（process_with_single_worker pid=4459） scene0003_00：读取帧 0/18 （process_with_single_worker pid=4678） scene0006_02：读取帧 0/27 进程已结束,退出代码1'

请问你这个问题解决了吗？

i can't replay in chinese,because when i reply in chinese ,but i see you messuse,i think your ray have some problem,mybe choose ray==1.13,and torch1.6 and so on ,take a attempt

[hyh16601377106]

你不能删去ray，因为那是个图形处理库，你需要改成正确的1.13版本

白日焰火 @.***

 

------------------ 原始邮件 ------------------ 发件人: "zju3dv/NeuralRecon" @.>; 发送时间: 2022年11月5日(星期六) 中午12:28 @.>; @.>;"State @.>; 主题: Re: [zju3dv/NeuralRecon] problem in running generate_gt.py, (Issue #109)

(py379) @.***:~/code/NeuralRecon/NeuralRecon-master$ python tools/tsdf_fusion/generate_gt.py --data_path /home/peter/code/NeuralRecon/scannet --save_name all_tsdf_9 --window_size 9 Traceback (most recent call last): File "tools/tsdf_fusion/generate_gt.py", line 275, in files = split_list(files, all_proc) File "tools/tsdf_fusion/generate_gt.py", line 231, in split_list assert len(_list) >= n AssertionError

请问你这个问题怎么解决的？

我回来了，我直接把ray删掉了

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you modified the open/close state.Message ID: @.***>

[vico1999-ros]

(py379) peter@DESKTOP-A5F108R:~/code/NeuralRecon/NeuralRecon-master$ python tools/tsdf_fusion/generate_gt.py --data_path /home/peter/code/NeuralRecon/scannet --save_name all_tsdf_9 --window_size 9 Traceback (most recent call last): File "tools/tsdf_fusion/generate_gt.py", line 275, in files = split_list(files, all_proc) File "tools/tsdf_fusion/generate_gt.py", line 231, in split_list assert len(_list) >= n AssertionError i also find this problem. how to solve it. can someone give instrunctions