Wrong result in Replica room0

[BW-Zhang05]

I change the Replica dataset to NeRFSythetic dataformat so that it can be input to 3DGS, the point_cloud i get is through Co-SLAM. When i run 3dgs i found the rendering results is right, but the multi-view results in supersplat is wrong like this:

whats the problem, and the input ply is like that:

and the python script i use to change Replica to NeRFSythetic is as follow:

import os
import shutil
import numpy as np
import json
from glob import glob
from tqdm import tqdm

sequences = ["office2"]

replica_root_base = "/data/Replica" # <-- ⚠️ 修改为你实际的路径

output_base = "Replica_blender"

fx = 600.0
w = 1200

camera_angle_x = 2 * np.arctan(w / (2 * fx))
print(f"📐 计算得到 camera_angle_x = {camera_angle_x:.6f} 弧度")

for seq_name in sequences:
print(f"\n🔧 正在处理序列: {seq_name}")
replica_root = os.path.join(replica_root_base, seq_name, "results")
traj_path = os.path.join(replica_root_base, seq_name, "traj.txt")
train_dir = os.path.join(output_base, seq_name, "train")
os.makedirs(train_dir, exist_ok=True)

frame_paths = sorted(glob(os.path.join(replica_root, "frame*.jpg")))
if not os.path.exists(traj_path):
    print(f"⚠️ 跳过 {seq_name}: 未找到 traj.txt")
    continue

poses = []
with open(traj_path, 'r') as f:
    for line in f:
        vals = list(map(float, line.strip().split()))
        if len(vals) != 16:
            continue
        mat = np.array(vals).reshape(4, 4)

        mat[:3, 1] *= -1
        mat[:3, 2] *= -1
        poses.append(mat)

if len(poses) != len(frame_paths):
    print(f"❌ 位姿数({len(poses)})与图像数({len(frame_paths)})不一致，跳过 {seq_name}")
    continue

frames_json = []
for i, (img_path, pose) in enumerate(tqdm(zip(frame_paths, poses), total=len(poses))):
    new_name = f"r_{i}.jpg"
    shutil.copy(img_path, os.path.join(train_dir, new_name))

    frames_json.append({
        "file_path": f"./train/{new_name[:-4]}",
        "rotation": 0.0,
        "transform_matrix": pose.tolist()
    })

transforms = {
    "camera_angle_x": camera_angle_x,
    "frames": frames_json
}

with open(os.path.join(output_base, seq_name, "transforms_train.json"), 'w') as f:
    json.dump(transforms, f, indent=4)

print(f"✅ {seq_name} 转换完成，帧数: {len(poses)}，保存至 {os.path.join(output_base, seq_name)}")