initial commit

app.py

@@ -0,0 +1,142 @@
+# https://huggingface.co/St0nedB/deepest-public
+import os
+import numpy as np
+import logging
+import gradio as gr
+import subprocess
+import sys
+import matplotlib
+import matplotlib.pyplot as plt
+from dataset import UAVDataset
+logger = logging.basicConfig(level=logging.ERROR)
+matplotlib.use("agg")
+
+MARKER_STYLE = dict(
+    linestyle="none",
+    markersize=15,
+    marker="o",
+    fillstyle="none",
+    markeredgewidth=2,
+    color="none",
+    markerfacecolor="none",
+    markerfacecoloralt="none",
+    markeredgecolor="white",
+)
+
+SCENARIO = "1to2_H15_V11"
+RXS = ["VGH0", "VGH1", "VGH2"]
+DATASETS = []
+CHANNELS = []
+GROUNDTRUTHS = []
+SLOWTIME_WINDOW = 100
+NUM_WINDOWS = 0
+
+
+def get_channel(x: np.ndarray, start_idx: int, window_slowtime: int, filter_clutter: bool=False, upsample: int = 1) -> np.ndarray:
+    if start_idx > x.shape[0] - window_slowtime:
+        raise ValueError(
+            "Start index must be smaller than the number of slowtime samples minus the window size.")
+        
+    x = x[start_idx:start_idx+window_slowtime+1, :]
+    if filter_clutter:
+        x = np.diff(x, n=1, axis=0)
+    
+    t_n, f_n = x.shape 
+    y = np.fft.fft(np.fft.ifft(x, n=f_n*upsample, axis=1), n=t_n*upsample, axis=0)
+    y /= np.linalg.norm(y)
+    y = np.fft.fftshift(y, axes=0)
+    y = y[:, :80*upsample]
+    
+    return y
+
+def get_groundtruth(x: np.ndarray, start_idx: int, window_slowtime: int):
+    if start_idx > x.shape[0] - window_slowtime:
+        raise ValueError(
+            "Start index must be smaller than the number of slowtime samples minus the window size.")
+
+    delay = x[start_idx+window_slowtime//2, 0]
+    doppler = x[start_idx+window_slowtime//2, 1]
+
+    return np.array([delay, doppler])
+
+def get_data(channel: np.ndarray, groundtruth: np.ndarray, window_slowtime: int, start_idx: int):
+    channel = get_channel(channel, start_idx, window_slowtime, filter_clutter=True, upsample=2)
+    groundtruth = get_groundtruth(groundtruth, start_idx, window_slowtime)
+    return channel, groundtruth
+
+def update_fig(channel: np.ndarray, groundtruth: np.ndarray):
+    plt.close()
+    fig = plt.figure()
+    plt.imshow(20*np.log10(np.abs(channel)), aspect="auto",
+              cmap="inferno", vmin=-70, vmax=0, extent=[0, 1e-6, +1/(2*320e-6), -1/(2*320e-6)])
+    plt.plot(groundtruth[0], groundtruth[1], **MARKER_STYLE)
+    plt.xlabel("Delay [$\mu s$]")
+    plt.ylabel("Doppler-Shift [Hz]")
+    return fig
+
+def update(channel: np.ndarray, groundtruth: np.ndarray, window_slowtime: int, start_idx: int):
+    channel_window, groundtruth_window = get_data(
+        channel, groundtruth, window_slowtime, int(start_idx))
+    
+    fig = update_fig(channel_window, groundtruth_window)
+    return fig
+    
+def update_all(start_idx: int):
+    figs = []
+    for cc, gg in zip(CHANNELS, GROUNDTRUTHS):
+        fig = update(cc, gg, SLOWTIME_WINDOW, start_idx*SLOWTIME_WINDOW)
+        figs.append(fig)
+    
+    return figs
+
+    
+def demo():
+    with gr.Blocks() as demo:
+        gr.Markdown(
+            "Demo for the [ISAC-UAV-Dataset](https://github.com/EMS-TU-Ilmenau/isac-uav-dataset)"
+        )
+        
+        with gr.Row():
+            vgh0 = gr.Plot(update_all(1)[0], label="VGH0")
+            vgh1 = gr.Plot(update_all(1)[1], label="VGH1")
+            vgh2 = gr.Plot(update_all(1)[2], label="VGH2")
+            
+            
+        with gr.Row():
+            slider = gr.Slider(1, NUM_WINDOWS, 1, step=1, label="Slowtime Window", queue=True, every=1)
+            
+        # update callbacks
+        slider.input(update_all, [slider], [vgh0, vgh1, vgh2], show_progress="minimal")
+        
+    demo.launch()
+
+def prepare_data():
+    files_exist = [os.path.exists(f"{SCENARIO}_{rx}_channel.h5") for rx in RXS]
+    if all(files_exist):
+        return 
+    
+    subprocess.check_call([sys.executable, "downloader.py", "--scenario", SCENARIO])
+    return
+
+def update_globals():
+    global DATASETS, CHANNELS, GROUNDTRUTHS, NUM_WINDOWS
+    DATASETS = [
+        UAVDataset(
+            f"{SCENARIO}_{rx}_channel.h5",
+            f"{SCENARIO}_{rx}_target.h5",
+        ) for rx in RXS
+    ]
+    CHANNELS = [d.channel for d in DATASETS]
+    GROUNDTRUTHS = [d.groundtruth for d in DATASETS]
+    NUM_WINDOWS = (len(DATASETS[0]) - SLOWTIME_WINDOW) // SLOWTIME_WINDOW
+    return
+    
+    
+def main():
+    prepare_data()
+    update_globals()
+    demo()
+    
+    
+if __name__ == "__main__":
+    main()

dataset.py

@@ -0,0 +1,52 @@
+from dataclasses import dataclass, field
+import h5py
+import numpy as np
+
+H5_CDATA = "Channel/FrequencyResponses/Data"
+H5_TARGET_DELAY = "TargetParameters/Delay/Data"
+H5_TARGET_DOPPLER = "TargetParameters/Doppler/Data"
+H5_TXANTENNA = "AntennaPositions/PositionTx/Data"
+H5_RXANTENNA = "AntennaPositions/PositionRx/Data"
+H5_UAVPOSITIONS = "Positions/Data"
+
+@dataclass
+class UAVDataset:
+    channelfile: str
+    """The path to the channel file"""
+    targetfile: str = None
+    """The path to the target file"""
+    channel: np.ndarray = field(init=False)
+    """Property to store the channel data as a numpy array"""
+    groundtruth: np.ndarray = field(init=False)
+    """Property to store the delay and Doppler groundtruth of the UAV as a numpy array"""
+    tx: np.ndarray = field(init=False)
+    """Property to store the transmitter antenna positions as a numpy array"""
+    rx: np.ndarray = field(init=False)
+    """Property to store the receiver antenna positions as a numpy array"""
+    uav: np.ndarray = field(init=False)
+    """Property to store the UAV positions as a numpy array"""
+
+    def __post_init__(self) -> None:
+        # load channel, positions
+        h5_channel = h5py.File(self.channelfile, "r")
+        self.channel = np.array(h5_channel[H5_CDATA]).view(
+            np.complex64).squeeze()
+        self.groundtruth = np.concatenate(
+            (
+                np.array(h5_channel[H5_TARGET_DELAY]),
+                np.array(h5_channel[H5_TARGET_DOPPLER]),
+            ),
+            axis=1,
+        )
+        self.tx = np.array(h5_channel[H5_TXANTENNA]).view(np.float64).squeeze()
+        self.rx = np.array(h5_channel[H5_RXANTENNA]).view(np.float64).squeeze()
+
+        if self.targetfile is not None:
+            h5_target = h5py.File(self.targetfile, "r")
+            self.uav = np.array(h5_target[H5_UAVPOSITIONS]).view(
+                np.float64).squeeze()
+
+        return
+           
+    def __len__(self) -> int:
+        return self.channel.shape[0]

downloader.py

@@ -0,0 +1,237 @@
+#!/usr/bin/env python3
+"""Downloader for the Dataset files.
+
+This script is used to download the actual dataset files, which are stored on a different server to keep the repository clean.
+After being invoked, the script will perform the following tasks:
+    - download the specified scenarios
+    - decrypt the scenarios
+    - unpack the archive
+    - check the resulting file matches with the one specified in the repo (by comparing SHA256 hashes)
+
+If a file was already downloaded, the script will not download it again, unless specified otherwise with the `--overwrite` argument (the same holds true for decryption and unpacking).
+Call the script with `--help` to get a print of all supported arguments.
+For most use-cases, running 
+```bash
+python downloader.py
+```
+is sufficient.
+
+"""
+import argparse
+import os
+import subprocess
+import logging
+from getpass import getpass
+from hashlib import sha256
+import tarfile
+import urllib.request
+from tqdm.auto import tqdm
+
+__author__ = "[email protected], FG EMS"
+__credits__ = "Carsten Smeenk, Zhixiang Zhao"
+__version__ = "0.5"
+__license__ = "CC-BY-SA-4.0"
+__maintainer__ = "Steffen Schieler"
+__email__ = "[email protected]"
+__status__ = "Development"
+
+SERVER = "https://resdata.tu-ilmenau.de"
+DIR = "/public/ei/ems/isac-uav-dataset/"
+SHASUM_FILE = "scenarios.checksum"
+
+RXS = ["VGH0", "VGH1", "VGH2"]
+
+class CustomFormatter(logging.Formatter):
+    grey = "\x1b[38;20m"
+    yellow = "\x1b[33;20m"
+    red = "\x1b[31;20m"
+    bold_red = "\x1b[31;1m"
+    reset = "\x1b[0m"
+    format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s (%(filename)s:%(lineno)d)"
+
+    FORMATS = {
+        logging.DEBUG: grey + format + reset,
+        logging.INFO: grey + format + reset,
+        logging.WARNING: yellow + format + reset,
+        logging.ERROR: red + format + reset,
+        logging.CRITICAL: bold_red + format + reset
+    }
+
+    def format(self, record):
+        log_fmt = self.FORMATS.get(record.levelno)
+        formatter = logging.Formatter(log_fmt)
+        return formatter.format(record)
+    
+
+class Downloader:
+    @classmethod  
+    def download(cls, url: str, out_file: str):
+        if not cls._download_file_from_server(url, out_file=out_file):
+            raise Exception(f"Failed to download file { url } from server.")
+
+        return
+
+    @classmethod
+    def _download_file_from_server(cls, url: str, out_file: str) -> bool:
+        class DownloadProgressBar(tqdm):
+            def update_to(self, b=1, bsize=1, tsize=None):
+                if tsize is not None:
+                    self.total = tsize
+                self.update(b * bsize - self.n)  
+        
+        with DownloadProgressBar(unit='B', unit_scale=True, miniters=1, desc=url.split('/')[-1]) as t:
+            urllib.request.urlretrieve(url, filename=out_file, reporthook=t.update_to)
+
+        return True
+
+def add_rx_to_scenarios(scenarios: list) -> list:
+    allrx = []
+    for scenario in scenarios:
+        allrx.extend([f"{scenario}_{rx}" for rx in RXS])
+        
+    return allrx
+
+def decrypt_file(in_file: str, password: str, out_file: str = None) -> bool:
+    if out_file is None:
+        out_file = in_file.split(".encrypted")[0]
+
+    logger.info(f"Decrypting downloaded file {in_file} as {out_file}.")
+    proc = subprocess.run(["openssl", "enc", "-d", "-aes256", "-pbkdf2", "-pass", f"pass:{password}", "-in", in_file, "-out", out_file])
+
+    return not(bool(proc.returncode))
+
+def unpack_file(archive: str, out_dir: str, file_to_unpack: str) -> bool:
+    logger.info(f"Unpacking file { file_to_unpack } from archive { archive } to { out_dir }.")
+    with tarfile.open(archive, mode="r") as tf:
+        tf.extract(member=file_to_unpack, path=out_dir)
+
+    return
+
+def check_shasum(shasum: dict, h5_file: str, dir: str) -> bool:
+    logger.info(f"Checking Shasum-256 using Repos `*.checksum` files to verify downloaded Scenario { h5_file }.")
+    hash_func = sha256()
+    with open(h5_file, "rb") as f:
+        for chunk in iter(lambda: f.read(2**23), b""):
+            hash_func.update(chunk)
+
+    hash = hash_func.hexdigest()
+    if shasum != hash:
+        logger.warning(f"The shasums of the downloaded file and in the Gitlab did not match!")
+        return False
+
+    logger.info(f"Shasum-256 of {h5_file} and Shasum-256 in Git repository matched!")   
+    return True
+
+def create_download_dir(dir: str) -> None:
+    try: 
+        os.mkdir(dir)
+        logger.info(f"Temporary download directory created in `{ dir }`.")
+    except FileExistsError:
+        logger.info(f"Temporary download directory already exists.")
+
+    return
+
+def load_shasum_dict(shasum_file: str) -> dict:
+    shasums = {}
+    with open(shasum_file) as file:
+        lines = file.readlines()
+        lines = [line.rstrip() for line in lines]
+        for line in lines:
+            value, key = line.split("  ")
+            shasums[key] = value
+
+    return shasums
+
+def main(args, checksums):
+    repo_dir = args.output_dir
+    tmp_dir = os.path.join(repo_dir, ".tmp")
+    create_download_dir(tmp_dir)
+    password = os.environ["DATA_PASSWORD"]
+
+    for scenario in args.scenario:
+        url = f"{SERVER}{DIR}{scenario}.tar.bz2.encrypted"
+        encrypted_file = os.path.join(tmp_dir ,f"{ scenario }.tar.bz2.encrypted")
+        decrypted_file = os.path.join(tmp_dir, f"{ scenario }.tar.bz2")
+        h5_filenames = [f"{ scenario }_{ type }.h5" for type in ["channel", "target"]]
+        shasums = [checksums[x] for x in h5_filenames]
+
+        if not os.path.exists(encrypted_file) or args.overwrite:
+            Downloader.download(url, out_file=encrypted_file)
+        else:
+            logger.info("Reusing previously downloaded file.")
+
+        # decrypt file in tmpdir
+        if not os.path.exists(decrypted_file):
+            if not decrypt_file(in_file=encrypted_file, password=password, out_file=decrypted_file):
+                raise Exception(f"Failed to decrypt file. Did you enter the correct password?")
+
+        # unpack file from tmpdir to repodir
+        for h5_file in h5_filenames:
+            if not os.path.exists(os.path.join(repo_dir, h5_file)):
+                unpack_file(archive=decrypted_file, out_dir=repo_dir, file_to_unpack=h5_file)
+
+        # check shasum of file with *.checksum file from repo
+        for shasum, h5_file in zip(shasums, h5_filenames):
+            check_shasum(shasum, h5_file, repo_dir)
+
+        if not args.no_cleanup:
+            os.remove(encrypted_file)
+            os.remove(decrypted_file)
+
+    logger.info("All done. Exiting.")
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Downloader for the Measurement files."
+    )
+    parser.add_argument(
+        "-s",
+        "--scenario",
+        help=f"The list of scenarios to download, separated by spaces. If none is given, all scenarios are downloaded.",
+        nargs="+",
+    )
+    parser.add_argument(
+        "--output-dir",
+        help="Specify the output directory for the downloaded files. Default is the current working directory.",
+        default=os.getcwd(),
+    )
+    parser.add_argument(
+        "--shasum-file",
+        help="Path to the `scenarios.checksum` file. Defaults to `$cwd/scenarios.checksum`.",
+        default=os.path.join(os.getcwd(), "scenarios.checksum"),
+    )    
+    parser.add_argument(
+        "-nc",
+        "--no-cleanup",
+        help="Do not delete temporary download files after succesful decryption and unpacking.",
+        action="store_true",
+    )
+    parser.add_argument(
+        "-o",
+        "--overwrite",
+        help="Re-download and overwrite previously downloaded files",
+        action="store_true",
+    )
+
+    logger = logging.getLogger("Data-Downloader")
+    logger.setLevel(logging.INFO)
+    ch = logging.StreamHandler()
+    ch.setLevel(logging.DEBUG)
+    ch.setFormatter(CustomFormatter())    
+    args = parser.parse_args()
+    
+    # create console handler with a higher log level
+    logger.addHandler(ch)
+
+    if not os.path.exists(args.shasum_file):
+        raise FileNotFoundError(f"No shasum file found at path {args.shasum_file}. Use `--shasum-file` to specify a correct path.")
+
+    shasums = load_shasum_dict(args.shasum_file)
+    all_scenarios = [ x.split("_channel.h5")[0] for x in shasums.keys() if "_channel.h5" in x]
+
+    if args.scenario is None:
+        args.scenario = all_scenarios
+    else:
+        args.scenario = add_rx_to_scenarios(args.scenario)
+
+    main(args, shasums)

scenarios.checksum

@@ -0,0 +1,360 @@
+216b5ab9fb4371b565d824552557b147474cc8dfbc38ffb8c3ccc4b4f8c57181  0to1_H15_V5_VGH0_channel.h5
+067e0738af4bab39c21411996c8447b994882dfd634bf21ac6acc4fc3511cae7  0to1_H15_V5_VGH0_target.h5
+6ce9e741097d657a30ff208b92503a6e811c3061422dff31d8a4456216c20c7a  0to1_H15_V5_VGH1_channel.h5
+067e0738af4bab39c21411996c8447b994882dfd634bf21ac6acc4fc3511cae7  0to1_H15_V5_VGH1_target.h5
+ddc8de34c4b2c9ad93451d95cd4e49b55db1a90252d56b7e8bd3c7530ac687ea  0to1_H15_V5_VGH2_channel.h5
+067e0738af4bab39c21411996c8447b994882dfd634bf21ac6acc4fc3511cae7  0to1_H15_V5_VGH2_target.h5
+efbae6e45ad46f11c8d7ab6270a128eaa7681e6707c692543aabebe8318b6d71  0to9_H15_V5_VGH0_channel.h5
+c2ab456d95456d53abfaf33da5af1ffe65dbd781d284f88630c761188dae9442  0to9_H15_V5_VGH0_target.h5
+1ceb85d43e12a2885731bc90f3c3981ea86e12a73cceef78dbff6c1b1afd6874  0to9_H15_V5_VGH1_channel.h5
+c2ab456d95456d53abfaf33da5af1ffe65dbd781d284f88630c761188dae9442  0to9_H15_V5_VGH1_target.h5
+5047f9550f7eb0789c03e22b2842d8de6db75c96c0ff5ca93b458fb877620820  0to9_H15_V5_VGH2_channel.h5
+c2ab456d95456d53abfaf33da5af1ffe65dbd781d284f88630c761188dae9442  0to9_H15_V5_VGH2_target.h5
+9800999aa5fe2fddb32e1a1764f95e2dc407ef81c3d8fce4769c8d821b288335  1to0_H30_V11_VGH0_channel.h5
+6bd453e98dd0ab5e8b7004566600ebd970580758d181d0d1091d9337d4e5572a  1to0_H30_V11_VGH0_target.h5
+a7abffd6985b68ab72f5ee72e2e3d0fa4c954b09f46f04e29e2af85e6a939c10  1to0_H30_V11_VGH1_channel.h5
+6bd453e98dd0ab5e8b7004566600ebd970580758d181d0d1091d9337d4e5572a  1to0_H30_V11_VGH1_target.h5
+0b02fd8433650170aa05f9f38bef43682b69c165e1f5a0fe95bd56b5e51a30c1  1to0_H30_V11_VGH2_channel.h5
+6bd453e98dd0ab5e8b7004566600ebd970580758d181d0d1091d9337d4e5572a  1to0_H30_V11_VGH2_target.h5
+56dabd8f9aa2b81018031c0cebdc84d86de4957c7ea1eff2b4ef4e59b0f2cf27  1to2_H15_V11_VGH0_channel.h5
+92f5b93da166e5aebaa2b30459ca8638efa416fe7d7ebf6d93df8cc8eac41bfe  1to2_H15_V11_VGH0_target.h5
+8cb0baa04699e4e9a8da36e10196e2f56daf4855740f0b3d5b9ecd3d834fd8c8  1to2_H15_V11_VGH1_channel.h5
+92f5b93da166e5aebaa2b30459ca8638efa416fe7d7ebf6d93df8cc8eac41bfe  1to2_H15_V11_VGH1_target.h5
+363c326ecdca2aa44507c9082a04531f6663614326f8e3b685e3f38a206e8ac2  1to2_H15_V11_VGH2_channel.h5
+92f5b93da166e5aebaa2b30459ca8638efa416fe7d7ebf6d93df8cc8eac41bfe  1to2_H15_V11_VGH2_target.h5
+032627be058156e55656ebf982d2e5b646bdac8ae8bd35c040fd6baf0b5d5012  1to2_H15_V5_VGH0_channel.h5
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+909efa740a61b7bd741f3ae37e8daade0bc9e2cfb29f483ecb8fc4a8f6c5ed38  1to2_H15_V5_VGH1_channel.h5
+95384204614e1aabdcc3abf9a81e21f33def6246844d35ef0954025385191ec7  1to2_H15_V5_VGH1_target.h5
+9d14ff8f83b5cc5bcc37b541845e1b4031669d32e6c7e332070872698f365467  1to2_H15_V5_VGH2_channel.h5
+95384204614e1aabdcc3abf9a81e21f33def6246844d35ef0954025385191ec7  1to2_H15_V5_VGH2_target.h5
+ebcae468f3ebe5b9caeebe1129b34ed3a4a70520867b36661ed5c12991369aac  1to2_H30_V11_VGH0_channel.h5
+463d95368dea11e965d04674b9a4b3ad8c41994e90ceeef8cf5bd5d697c87cce  1to2_H30_V11_VGH0_target.h5
+e93f2926b725bad89f640892be513a96d0c8b1f3b5c9568b80ea9412f6493375  1to2_H30_V11_VGH1_channel.h5
+463d95368dea11e965d04674b9a4b3ad8c41994e90ceeef8cf5bd5d697c87cce  1to2_H30_V11_VGH1_target.h5
+8af2f1baa22c51d2cd4ebe62267468453a7642d8d0052fe58551dd4ead5968bd  1to2_H30_V11_VGH2_channel.h5
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