FrankaCafe-Alpha / scripts /view_safetensor.py
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import argparse
from safetensors import safe_open
import numpy as np
import cv2
import matplotlib.pyplot as plt
from pathlib import Path
from matplotlib.widgets import Slider
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
import glob
import os
from datetime import datetime
import time
def display_demo_data(safetensor_path, action_format="actions/gripper/base_frame_delta"):
"""Display camera frames and action data from a safetensor file
Args:
safetensor_path (str): Path to safetensor file
action_format (str): One of ["actions/gripper/base_frame_delta",
"actions/gripper/gripper_frame_delta",
"actions/joints/angles",
"actions/joints/velocities"]
"""
with safe_open(safetensor_path, framework="numpy") as f:
# Get metadata first for window title
metadata = f.metadata()
task_name = metadata.get('task_name', 'Unknown Task')
# Get all keys to understand what's stored
keys = f.keys()
metadata = f.metadata()
print("\nDemo Details:")
print(f" Task Name: {metadata.get('task_name', 'N/A')}")
print(f" Trajectory ID: {metadata.get('trajectory_id', 'N/A')}")
print(f" Style ID: {metadata.get('style_id', 'N/A')}")
print("\nLoading data in safetensor...")
# Print keys and their sizes in columns
for key in sorted(keys):
tensor = f.get_tensor(key)
print(f" {key:<50} {str(tensor.shape):<20}")
# Load action data based on format
action_data = f.get_tensor(action_format)
gripper = f.get_tensor("actions/gripper/command")
# Load camera frames with original names
gripper_cam = f.get_tensor("images/Camera_robot0_eye_in_hand")
left_shoulder_cam = f.get_tensor("images/Camera_robot0_agentview_left")
right_shoulder_cam = f.get_tensor("images/Camera_robot0_agentview_right")
num_frames = len(gripper_cam)
# Define labels based on action format
labels = {
"actions/gripper/base_frame_delta": ['Pos X', 'Pos Y', 'Pos Z', 'Rot X', 'Rot Y', 'Rot Z'],
"actions/gripper/gripper_frame_delta": ['Pos X', 'Pos Y', 'Pos Z', 'Rot X', 'Rot Y', 'Rot Z'],
"actions/joints/angles": [f'Joint {i}' for i in range(7)],
"actions/joints/velocities": [f'Vel {i}' for i in range(7)]
}
# Define y-axis limits and scaling based on action format
ylim_scales = {
"actions/gripper/base_frame_delta": 1.1,
"actions/gripper/gripper_frame_delta": 1.1,
"actions/joints/angles": 0.5, # Smaller scale for joint positions
"actions/joints/velocities": 2.0 # Larger scale for velocities
}
# Create figure
fig = plt.figure(figsize=(15, 10))
file_name = os.path.basename(safetensor_path)
fig.canvas.manager.set_window_title(f"{task_name} - {file_name}")
# Font sizes
plt.rcParams.update({
'font.size': 12, # Base font size
'axes.titlesize': 14, # Plot titles
'axes.labelsize': 12, # Axis labels
'xtick.labelsize': 11, # X tick labels
'ytick.labelsize': 11, # Y tick labels
})
# Create subplot grid
grid = plt.GridSpec(3, 3,
height_ratios=[3.5, 2.5, 0.5], # Keep same ratios
hspace=0.3,
wspace=0.1,
left=0.1, # Increased left margin (was 0.05)
right=0.9, # Decreased right margin (was 0.95)
top=0.95,
bottom=0.1)
# Create all subplot axes
ax_gripper = fig.add_subplot(grid[0, 0])
ax_left = fig.add_subplot(grid[0, 1])
ax_right = fig.add_subplot(grid[0, 2])
ax_action = fig.add_subplot(grid[1, :])
slider_ax = fig.add_subplot(grid[2, :]) # Adjusted to use only the middle column
# Define color palette with dark theme
colors = {
'positive': '#FF9F1C', # warm orange
'negative': '#2EC4B6', # teal
'neutral': '#A0A0A0', # light gray
'background': '#1E1E1E', # dark background
'text': '#FFFFFF' # white text
}
fig.patch.set_facecolor(colors['background'])
# Style all subplots
for ax in [ax_gripper, ax_left, ax_right, ax_action, slider_ax]:
ax.set_facecolor(colors['background'])
ax.tick_params(colors=colors['text'], labelcolor=colors['text'])
ax.title.set_color(colors['text'])
for ax in [ax_gripper, ax_left, ax_right]:
ax.set_xticks([])
ax.set_yticks([])
for spine in ax.spines.values():
spine.set_linewidth(1)
# Style action plot specifically
ax_action.set_facecolor(colors['background'])
ax_action.axhline(y=0, color=colors['text'], linestyle='-', alpha=0.2)
ax_action.xaxis.label.set_color(colors['text'])
ax_action.yaxis.label.set_color(colors['text'])
for spine in ax_action.spines.values():
spine.set_linewidth(1)
# Initial setup of plots
img_gripper = ax_gripper.imshow(gripper_cam[0])
img_left = ax_left.imshow(left_shoulder_cam[0])
img_right = ax_right.imshow(right_shoulder_cam[0])
# Camera view titles
ax_gripper.set_title("Camera_robot0_eye_in_hand", fontsize=14, loc='left', color=colors['text'])
ax_left.set_title("Camera_robot0_agentview_left", fontsize=14, loc='left', color=colors['text'])
ax_right.set_title("Camera_robot0_agentview_right", fontsize=14, loc='left', color=colors['text'])
# Action plot title
ax_action.set_title(f"{action_format}", pad=15, fontsize=14, loc='left', color=colors['text'])
# Gripper info text
info_text = ax_action.text(0.99, 1.0, "", # x=0.99 for right edge, y=1.0 for title line
horizontalalignment='right',
transform=ax_action.transAxes,
color=colors['text'],
fontsize=14,
fontfamily='sans-serif')
# Setup action plot
current_labels = labels[action_format]
bars = ax_action.bar(current_labels, action_data[0])
ax_action.set_facecolor(colors['background'])
# Set y-limits based on action format
max_val = max(abs(np.max(action_data)), abs(np.min(action_data)))
scale = ylim_scales.get(action_format, 1.1)
ax_action.set_ylim(-max_val*scale, max_val*scale)
ax_action.axhline(y=0, color='black', linestyle='-', alpha=0.2)
# Slider
frame_slider = Slider(
ax=slider_ax,
label='Frame',
valmin=0,
valmax=num_frames-1,
valinit=0,
valstep=1,
color='lightgray',
initcolor='gray',
)
# Slider handle
frame_slider.vline.set_linewidth(60)
frame_slider.vline.set_color('darkgray')
# Slider text and ticks
frame_slider.label.set_color(colors['text'])
frame_slider.valtext.set_color(colors['text'])
slider_ax.tick_params(colors=colors['text'], labelcolor=colors['text'])
# Slider text and ticks
frame_slider.label.set_size(12)
frame_slider.valtext.set_size(12)
frame_slider.label.set_fontfamily('sans-serif')
frame_slider.valtext.set_fontfamily('sans-serif')
def update(val):
frame_idx = int(val)
# Update images
img_gripper.set_array(gripper_cam[frame_idx])
img_left.set_array(left_shoulder_cam[frame_idx])
img_right.set_array(right_shoulder_cam[frame_idx])
# Update action data
frame_data = action_data[frame_idx]
gripper_data = gripper[frame_idx]
# Update bar heights
for i, (bar, val) in enumerate(zip(bars, frame_data)):
bar.set_height(val)
if action_format in ["joint_positions", "joint_velocities"]:
bar.set_color(colors['neutral'])
else:
if abs(val) < 1e-6:
bar.set_color(colors['neutral'])
elif val >= 0:
bar.set_color(colors['positive'])
else:
bar.set_color(colors['negative'])
# Update info text
if action_format in ["action_deltas", "actions_gripper_frame"]:
action_magnitude = np.linalg.norm(frame_data)
info_str = f"Gripper: {gripper_data[0]:.3f} (-1=open, 1=closed)"
else:
info_str = f"Gripper: {gripper_data[0]:.3f} (-1=open, 1=closed)"
info_text.set_text(info_str)
# Update title with frame number
#ax_action.set_title(f"{action_format} (Frame {frame_idx}/{num_frames-1})")
# Use blit for faster updates
fig.canvas.draw_idle()
frame_slider.on_changed(update)
# Initial display
update(0)
print("\nControls:")
print(" Use slider to navigate frames or spacebar to play")
print(" Close window to exit and choose a different file")
# Playback functionality
playing = False
window_closed = False
def play_animation():
nonlocal playing, window_closed
import time
frame_interval = 1/60 # Target frame rate
while playing and not window_closed:
current_frame = int(frame_slider.val)
next_frame = (current_frame + 1) % num_frames
try:
if window_closed or not plt.fignum_exists(fig.number):
playing = False
break
frame_slider.set_val(next_frame)
fig.canvas.draw_idle()
fig.canvas.flush_events()
time.sleep(frame_interval)
except Exception as e:
playing = False
break
def toggle_play(event):
if event.key == ' ': # spacebar
nonlocal playing
if not window_closed: # Only toggle if window is still open
playing = not playing
if playing:
play_animation()
def on_close(event):
nonlocal window_closed, playing
window_closed = True
playing = False
try:
fig.canvas.stop_event_loop()
except:
pass
plt.close('all')
# Connect events
fig.canvas.mpl_connect('close_event', on_close)
fig.canvas.mpl_connect('key_press_event', toggle_play)
try:
plt.show(block=False)
import time
check_interval = 0.1
# Main event loop
while not window_closed and plt.fignum_exists(fig.number):
try:
time.sleep(check_interval)
if not playing: # Only flush events if not playing
fig.canvas.flush_events()
if window_closed or not plt.fignum_exists(fig.number):
break
except (KeyboardInterrupt, SystemExit):
window_closed = True
break
finally:
playing = False
plt.close('all')
del frame_slider
del action_data, gripper
def select_safetensor(directory, action_format="actions/gripper/base_frame_delta"):
"""Create a window for selecting safetensor files"""
root = tk.Tk()
root.title("Select File")
root.geometry("1000x800")
# Frame for the list
frame = ttk.Frame(root)
frame.pack(pady=10, padx=10, fill=tk.BOTH, expand=True)
# Label
ttk.Label(frame, text="Double-click to view a file:",
font=('Arial', 14)).pack(anchor='w', pady=(0, 10))
# Treeview
tree = ttk.Treeview(frame, columns=(), show="tree")
# Configure row height and font
style = ttk.Style()
style.configure("Treeview", rowheight=30, font=('Arial', 20))
style.configure("Treeview.Heading", font=('Arial', 20, 'bold'))
# Add scrollbar
scrollbar = ttk.Scrollbar(frame, orient=tk.VERTICAL, command=tree.yview)
tree.configure(yscrollcommand=scrollbar.set)
# Pack the treeview and scrollbar
tree.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
scrollbar.pack(side=tk.RIGHT, fill=tk.Y)
# Populate the list with safetensor files
safetensor_files = glob.glob(os.path.join(directory, "**/*.safetensors"), recursive=True)
for filepath in sorted(safetensor_files, key=lambda x: os.path.basename(x).lower()):
# Insert just the filename
tree.insert("", tk.END, text=os.path.basename(filepath), tags=(filepath,))
def on_double_click(event):
item = tree.selection()[0]
filepath = tree.item(item)["tags"][0]
root.withdraw()
try:
display_demo_data(filepath, action_format)
except Exception as e:
messagebox.showerror("Error", f"Failed to load safetensor: {str(e)}")
finally:
try:
root.deiconify()
root.lift()
root.update()
root.mainloop()
except tk.TclError:
select_safetensor(directory, action_format)
tree.bind("<Double-1>", on_double_click)
# Add exit button with better styling
exit_button = ttk.Button(root, text="Exit", command=root.destroy, style='TButton')
exit_button.pack(pady=10)
# Initial mainloop
root.mainloop()
def main():
parser = argparse.ArgumentParser(description="View safetensor demonstration files")
parser.add_argument("--dir", type=str, required=True,
help="Directory containing safetensor files")
parser.add_argument("--action_format", type=str,
default="actions/gripper/base_frame_delta",
choices=["actions/gripper/base_frame_delta",
"actions/gripper/gripper_frame_delta",
"actions/gripper/command",
"actions/joints/angles",
"actions/joints/velocities"],
help="Which action format to display")
args = parser.parse_args()
if not os.path.isdir(args.dir):
print(f"Error: {args.dir} is not a directory")
return
# Pass action_format to select_safetensor
select_safetensor(args.dir, args.action_format)
if __name__ == "__main__":
main()