stuff, idk
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anm.py
47
anm.py
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@ -1,3 +1,4 @@
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from lib.gbs import *
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from lib.skn_anm import *
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import os
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@ -9,9 +10,51 @@ def read_anm(filepath) -> AnmAnim:
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return r
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def read_skn(filepath) -> AnmSkin:
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with open(filepath, "rb") as fp:
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init_filetrack(os.fstat(fp.fileno()).st_size)
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r = AnmFile.parse(fp, AnmSkin)
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print("Read %s%% of file" % stat_track())
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return r
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def rotate_vec3_by_quaternion(vec: Vec3, quat: Quat):
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u = Vec3(quat.x, quat.y, quat.z)
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s = quat.w
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return 2 * Vec3.dot(u, vec) * u + (s*s - Vec3.dot(u, u)) * vec + 2.0 * s * cross(u, vec)
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def main():
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anm = read_anm("/home/tasty/Projects/gck-map-extract-objects/anm_skn/verm_fly.anm")
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pprint(anm)
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skin = read_skn("/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_l0.skn")
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anm = read_anm("/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_run_scan1.anm")
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#anm = read_anm("/home/tasty/Projects/gck-map-extract-objects/anm_skn/kb_roar2.anm")
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#pprint(skin)
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print("----------------------------------------------------------------")
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print("----------------------------------------------------------------")
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print("----------------------------------------------------------------")
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print("----------------------------------------------------------------")
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print("----------------------------------------------------------------")
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# pprint(anm)
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animation = AnmAnimation.create(skin, anm)
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gbs = GbsData()
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gbs.read("/home/tasty/Projects/gck-map-extract-objects/all_gbs/rp_l0.gbs")
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animation.eval(1000, gbs.vertices, 0x4c, 0)
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vbase = 0
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for binder in animation.binders:
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for bindings in binder.bindings:
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cluster = bindings.cluster
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node = bindings.node
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for cluster_vertex_i in range(len(cluster.vertices)):
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cluster_vertex = cluster.vertices[cluster_vertex_i]
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cluster_vertex += node.transform.affine.translation
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cluster_vertex = rotate_vec3_by_quaternion(cluster_vertex, node.transform.affine.quat)
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gbs.vertices[vbase] = cluster_vertex
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vbase += 1
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print(vbase)
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gbs.save_obj("/home/tasty/Projects/gck-map-extract-objects/mc_eval_0.obj")
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if __name__ == "__main__":
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@ -0,0 +1,141 @@
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import os
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import json
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decoded_dir = "/home/tasty/Nextcloud/docs/giants_private/binlnk (compiler for xxbin files)/all/"
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def _all_gbs():
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all_gbs = {}
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objdata = {}
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objsets = {}
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files = os.listdir(decoded_dir)
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for file in files:
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fullpath = decoded_dir + file
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print("reading %s" % fullpath)
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with open(fullpath) as fp:
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currblock = None
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curr_objset = None
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curr_obj = None
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lod_found = False
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audio_wav = None
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audio_dist = None
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for line in fp.readlines():
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line = line.strip()
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if not line:
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continue
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if line == "[objdata]":
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currblock = line
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continue
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if line == "[objset]":
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currblock = line
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continue
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if line == "[object]":
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currblock = line
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continue
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if line.startswith("[") and line.endswith("]"):
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currblock = None
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continue
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if currblock == "[objdata]":
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objdata_id, gbs_name = line.split(" ")
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objdata_id = int(objdata_id)
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if objdata_id in objdata:
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# raise Exception("%s was already in objdata ?! %s" % (objdata_id, objdata[objdata_id]))
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pass
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gbs_name = gbs_name.replace("\"", "")
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print("OBJDATA[%s] = %s" % (objdata_id, gbs_name))
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objdata[objdata_id] = gbs_name
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if currblock == "[objset]":
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line_attrs = line.split(" ")
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if line_attrs[0] == "ID":
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curr_objset = int(line_attrs[1])
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lod_found = False
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if line_attrs[0] == "LOD" and not lod_found:
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lod_found = True
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objset_objdata = int(line_attrs[1])
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print("OBJSETS[%s] = %s" % (curr_objset, objset_objdata))
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objsets[curr_objset] = objset_objdata
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if currblock == "[object]":
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line_attrs = line.split(" ")
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if line_attrs[0] == "ID":
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curr_obj = int(line_attrs[1])
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if line_attrs[0] == "OS":
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obj_objset = int(line_attrs[1])
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if line_attrs[0] == "AmbientStreamLoop":
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audio_wav = line_attrs[2].strip("\"")
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audio_dist = float(line_attrs[4])
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if line_attrs[0] == "Done":
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try:
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print("OBJ[%s] = OBJSETS[%s] = OBJDATA[%s] = %s" % (
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curr_obj, obj_objset, objsets[obj_objset], objdata[objsets[obj_objset]]))
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all_gbs[curr_obj] = {"model": objdata[objsets[obj_objset]]}
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if audio_wav:
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all_gbs[curr_obj]["audio"] = audio_wav
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all_gbs[curr_obj]["audiodist"] = audio_dist
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except KeyError:
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print("ERR: could not find OBJSET %s" % obj_objset)
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continue
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audio_wav = None
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audio_dist = None
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return all_gbs
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def map_txt_to_json(map_txt_path):
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all_objs = []
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curr_obj = None
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with open(map_txt_path) as fp:
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for line in fp.readlines():
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line = line.strip()
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if not line:
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continue
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line_attrs = line.split(" ")
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if line_attrs[0] == "ObjectRef6":
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if curr_obj:
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all_objs.append(curr_obj)
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curr_obj = {
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"id": int(line_attrs[1]),
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"x": float(line_attrs[2]),
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"y": float(line_attrs[3]),
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"z": float(line_attrs[4]),
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"angle": float(line_attrs[5]),
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"angle_2": float(line_attrs[6]),
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"angle_3": float(line_attrs[7]),
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"scale": 1
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}
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if line_attrs[0] == "ObjectRef":
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if curr_obj:
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all_objs.append(curr_obj)
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curr_obj = {
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"id": int(line_attrs[1]),
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"x": float(line_attrs[2]),
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"y": float(line_attrs[3]),
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"z": float(line_attrs[4]),
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"angle": float(line_attrs[5]),
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"angle_2": 0,
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"angle_3": 0,
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"scale": 1
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}
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if line_attrs[0] == "Scale":
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curr_obj["scale"] = float(line_attrs[1])
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with open(map_txt_path+".json", "w") as fp:
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json.dump(all_objs, fp)
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return all_objs
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def create_id_to_gbs_json():
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g = _all_gbs()
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with open("id_to_gbs.json", "w") as fp:
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json.dump(g, fp)
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if __name__ == '__main__':
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create_id_to_gbs_json()
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# m = map_txt_to_json("/home/tasty/Projects/Giants/assets/terrains/square_one_1/w_M_3Way_Tigs - Threeway - Square One.bin.txt")
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# print(m)
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@ -14,6 +14,22 @@ def init_filetrack(size):
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file_track = [0] * size
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def show_filetrack():
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i = 0
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curr = 1
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curr_len = 0
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while i < len(file_track):
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if file_track[i] != curr:
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if curr == 0:
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print("%s starts at %s, ends at %s for %s (%s) bytes (%s ints)" % (curr, i-curr_len, i, curr_len, hex(curr_len), curr_len/4))
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curr = file_track[i]
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curr_len = 1
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else:
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curr_len += 1
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i += 1
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print(file_track)
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def advance_track(offset, size):
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if not file_track:
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return
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835
lib/skn_anm.py
835
lib/skn_anm.py
File diff suppressed because it is too large
Load Diff
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from giantslib.game.map import Map
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def main():
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basedir = "/home/tasty/Projects/gck-map-extract-objects/intro_island/"
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map_path = basedir + "intro_island.zip"
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m = Map(map_path)
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m.save_heightmap(basedir + "heightmap.png")
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m.save_colormap(basedir + "lightmap.png")
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print(m.minheight, m.maxheight, m.stretch)
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return
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indexes = []
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for tri in m.triangles:
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index = m.vertices.index(tri)
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indexes.append(index)
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print(indexes)
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assert(len(indexes) % 3 == 0)
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assert(max(indexes) < len(m.vertices))
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with open("/home/tasty/Projects/Giants/assets/terrains/test.obj", "w") as fp:
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for v in m.vertices:
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fp.write("v %s %s %s\n" % (v[0], v[1], v[2]))
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t = 0
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while t < len(indexes):
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fp.write("f %s/%s %s/%s %s/%s\n" % (indexes[t]+1, indexes[t]+1, indexes[t+1]+1, indexes[t+1]+1, indexes[t+2]+1, indexes[t+2]+1))
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t += 3
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if __name__ == '__main__':
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main()
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79
obj2gbs.py
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obj2gbs.py
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def check(gbs_file, materials):
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return
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with open("data.json") as fp:
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d = json.load(fp)
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@ -109,6 +110,8 @@ class OBJObject:
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self.faces: List[OBJFace] = []
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self.name = "root"
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self.material: Union[None, OBJMaterial] = None
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self.vref_start = 0
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self.vref_count = 0
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class OBJFace:
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@ -126,14 +129,19 @@ def obj_read_materials(matlib_file) -> List[OBJMaterial]:
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line = line.strip()
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arr = line.split(" ")
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if arr[0] == "newmtl":
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if len(arr) <= 1:
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curr_mat = None
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continue
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mat = OBJMaterial()
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materials.append(mat)
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mat.name = arr[1].rstrip()
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curr_mat = mat
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if arr[0] == "map_Ka" or arr[0] == "map_Kd":
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matname_without_ext = "".join(arr[1:]).split("/")[-1]
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matname_without_ext = "".join(matname_without_ext.split(".")[0:-1])
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curr_mat.texture = matname_without_ext
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if curr_mat:
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matname_without_ext = "".join(arr[1:]).split("/")[-1]
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matname_without_ext = "".join(matname_without_ext.split(".")[0:-1])
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curr_mat.texture = matname_without_ext
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# print("Set %s to %s" % (curr_mat.texture, curr_mat.name))
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return materials
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@ -205,6 +213,7 @@ class GbsData:
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normals: List[Vec3] = []
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objects: List[OBJObject] = []
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root_obj = OBJObject()
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max_objs: List[MaxObj] = []
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objects.append(root_obj)
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last_material = None
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@ -258,22 +267,45 @@ class GbsData:
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f.index_normals.append(v3_normal_index)
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current_object.faces.append(f)
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if arr[0] == "o":
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obj_name = arr[1].rstrip()
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obj_line = arr[-1].rstrip()
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try:
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end = obj_line.index("_#_")
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except ValueError:
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end = None
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obj_name = obj_line[0:end]
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o = OBJObject()
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o.name = obj_name
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o.material = last_material
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if end:
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meta = obj_line[end+3:].split("_")
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o.vref_start = int(meta[0])
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o.vref_count = int(meta[1])
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objects.append(o)
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if len(current_object.faces) == 0:
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objects.remove(current_object)
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current_object = o
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if arr[0] == "usemtl":
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if arr[0] == "usemtl" and len(arr) > 1:
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mtl_name = arr[1].rstrip()
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mtl = [mat for mat in materials if mat.name == mtl_name][0]
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current_object.material = mtl
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last_material = mtl
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if mtl_name:
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mtl = [mat for mat in materials if mat.name == mtl_name][0]
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current_object.material = mtl
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last_material = mtl
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if arr[0] == "mtllib":
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matlib_file = arr[1].rstrip()
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materials = obj_read_materials("%s/%s" % (os.path.dirname(obj_file), matlib_file))
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obj_mat = "%s/%s" % (os.path.dirname(obj_file), matlib_file)
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print(obj_mat)
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materials = obj_read_materials(obj_mat)
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if arr[0] == "#" and arr[1] == "maxobj":
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max_obj = MaxObj()
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max_obj.vstart = int(arr[2])
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max_obj.vcount = int(arr[3])
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max_obj.nstart = int(arr[4])
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max_obj.ncount = int(arr[5])
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max_obj.noffset = int(arr[6])
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max_objs.append(max_obj)
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num_faces = sum([len(o.faces) for o in objects])
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print("%s vertices, %s uvs, %s normals, %s objects, %s materials, %s faces" % (len(vertices), len(uvs), len(normals), len(objects), len(materials), num_faces))
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@ -339,15 +371,27 @@ class GbsData:
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data.put_float(v.v * -1)
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# max objects
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data.put_long(1) # 1 big object
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data.put_long(0) # vstart
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data.put_long(len_vertices) # vcount
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data.put_long(0) # nstart
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data.put_long(0) # ncount
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data.put_long(0) # noffset ???
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print("There are %s max objects" % len(max_objs))
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if not max_objs:
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data.put_long(1) # 1 big object
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data.put_long(0) # vstart
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data.put_long(len_vertices) # vcount
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data.put_long(0) # nstart
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data.put_long(0) # ncount
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data.put_long(0) # noffset ???
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else:
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data.put_long(len(max_objs))
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for i in range(len(max_objs)):
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max_obj = max_objs[i]
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data.put_long(max_obj.vstart)
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data.put_long(max_obj.vcount)
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data.put_long(max_obj.nstart)
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data.put_long(max_obj.ncount)
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data.put_long(max_obj.noffset)
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# start write subobjects
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data.put_long(len(objects))
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print("THERE ARE %s subobjects" % len(objects))
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for obj in objects:
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data.put_string_size(obj.name, 32)
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data.put_long(0) # max obj index
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@ -360,8 +404,8 @@ class GbsData:
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data.put_short(face.index_uvs[1] - 1)
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data.put_short(face.index_uvs[2] - 1)
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data.put_long(0) # verticeref_start
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data.put_long(nverts) # verticeref_count
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data.put_long(obj.vref_start) # verticeref_start
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data.put_long(nverts if obj.vref_count == 0 else obj.vref_count) # verticeref_count
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if options & GBSFlagUVs:
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data.put_string_size(obj.material.texture, 32) # texture
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data.put_string_size(obj.material.texture, 32) # bump
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@ -391,6 +435,7 @@ def convert_obj(path):
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output = "%s/%s.gbs" % (os.path.dirname(os.path.abspath(path)), os.path.basename(path))
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print("Done! Output: %s" % output)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("path")
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107
skn.py
107
skn.py
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@ -1,5 +1,8 @@
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from lib.skn_anm import *
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from lib.gbs import *
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import struct
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import os
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import shutil
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def read_skn(filepath) -> AnmSkin:
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@ -27,8 +30,9 @@ def test():
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print("%s: dist=%s" % (mini_dist_v, mini_dist_v.distance(my_vertex)))
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def print_vertices():
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skn = read_skn("/home/tasty/Projects/gck-map-extract-objects/test/rp_l0.apatch.gzp.skn")
|
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def print_vertices(file):
|
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skn = read_skn(file)
|
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pprint(skn)
|
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for obj_name in skn.default_obj_dictionnary:
|
||||
obj = skn.default_obj_dictionnary[obj_name]
|
||||
for cluster in obj.clusters:
|
||||
|
|
@ -54,13 +58,12 @@ def link_gbs_skn():
|
|||
vbase += obj.total_number_vertices
|
||||
|
||||
|
||||
def main():
|
||||
skn = read_skn("/home/tasty/Projects/gck-map-extract-objects/test/rp_l0.apatch.gzp.skn")
|
||||
def main(file):
|
||||
skn = read_skn(file)
|
||||
pprint(skn)
|
||||
vbase = 0
|
||||
for tree in skn.tree_dictionnary:
|
||||
for obj_name in skn.tree_dictionnary[tree]:
|
||||
print(obj_name)
|
||||
obj = skn.tree_dictionnary[tree][obj_name]
|
||||
for cluster in obj.clusters:
|
||||
if cluster.num_vertices <= 0:
|
||||
|
|
@ -74,12 +77,96 @@ def main():
|
|||
vbase = 0
|
||||
for obj_name, obj in skn.default_obj_dictionnary.items():
|
||||
for cluster in obj.clusters:
|
||||
# fp.write("name %s %s %s %s %s %s %s\n" % (cluster.bone_name.strip().replace(" ", ""), cluster.bounding_box[0].x, cluster.bounding_box[0].y, cluster.bounding_box[0].z, cluster.bounding_box[1].x, cluster.bounding_box[1].y, cluster.bounding_box[1].z))
|
||||
for vertex in cluster.vertices:
|
||||
fp.write("index %s\n" % (vertex.index + vbase))
|
||||
# fp.write("offset %s %s %s\n" % (vertex.x, vertex.y, vertex.z))
|
||||
## 81: part of hair
|
||||
## 12: left eye
|
||||
## 9/13: leg or arm
|
||||
## 15/17 is a boob
|
||||
if cluster.handle == 15:
|
||||
# fp.write("name %s %s %s %s %s %s %s\n" % (cluster.bone_name.strip().replace(" ", ""), cluster.bounding_box[0].x, cluster.bounding_box[0].y, cluster.bounding_box[0].z, cluster.bounding_box[1].x, cluster.bounding_box[1].y, cluster.bounding_box[1].z))
|
||||
for vertex in cluster.vertices:
|
||||
# fp.write("index %s\n" % (vertex.index + vbase))
|
||||
fp.write("%s %s %s 0 0 0\n" % (vertex.x, vertex.y, vertex.z))
|
||||
vbase += obj.total_number_vertices
|
||||
|
||||
|
||||
def replace_vertex(x1, y1, z1, x2, y2, z2, skn_file):
|
||||
final = skn_file+".repl"
|
||||
if not os.path.exists(final):
|
||||
shutil.copy(skn_file, final)
|
||||
|
||||
with open(final, "rb") as fp:
|
||||
fp.seek(0)
|
||||
bytesarr = bytearray(fp.read())
|
||||
|
||||
bfind = x1+y1+z1
|
||||
brepl = x2+y2+z2
|
||||
bytesarr_new = bytesarr.replace(bfind, brepl)
|
||||
assert(bytesarr_new != bytesarr)
|
||||
with open(final, "ab+") as fp:
|
||||
fp.seek(0)
|
||||
fp.write(bytesarr_new)
|
||||
|
||||
|
||||
def replace_vertices(file_input, skn_file):
|
||||
with open(skn_file, "rb") as fp:
|
||||
orig_bytes = bytearray(fp.read())
|
||||
|
||||
with open(file_input, "r") as fp:
|
||||
lines = fp.readlines()
|
||||
to_search = []
|
||||
for line in lines:
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#"):
|
||||
continue
|
||||
a = line.split(" ")
|
||||
print(line)
|
||||
assert(len(a) == 6)
|
||||
x1 = struct.pack("<f", float(a[0]))
|
||||
y1 = struct.pack("<f", float(a[1]))
|
||||
z1 = struct.pack("<f", float(a[2]))
|
||||
|
||||
if (x1, y1, z1) in to_search:
|
||||
continue
|
||||
else:
|
||||
to_search.append((x1, y1, z1,))
|
||||
|
||||
x2 = struct.pack("<f", float(a[3]))
|
||||
y2 = struct.pack("<f", float(a[4]))
|
||||
z2 = struct.pack("<f", float(a[5]))
|
||||
|
||||
bfind = x1 + y1 + z1
|
||||
brepl = x2 + y2 + z2
|
||||
new_bytes = orig_bytes.replace(bfind, brepl)
|
||||
assert(new_bytes != orig_bytes)
|
||||
orig_bytes = new_bytes
|
||||
|
||||
final = skn_file+".repl"
|
||||
if not os.path.exists(final):
|
||||
shutil.copy(skn_file, final)
|
||||
|
||||
with open(final, "wb") as fp:
|
||||
print("writing final file %s..." % final)
|
||||
fp.write(orig_bytes)
|
||||
|
||||
|
||||
def combine_files(input, newfile):
|
||||
with open(input, "r") as in_fp:
|
||||
in_lines = in_fp.readlines()
|
||||
|
||||
with open(newfile, "r") as out_fp:
|
||||
out_lines = out_fp.readlines()
|
||||
|
||||
assert(len(in_lines) == len(out_lines))
|
||||
|
||||
for i in range(len(in_lines)):
|
||||
out_lines[i] = out_lines[i].replace("\n", "") + " " + in_lines[i]
|
||||
|
||||
with open(newfile+".combined", "w") as o_fp:
|
||||
o_fp.writelines(out_lines)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
file = "/home/tasty/Projects/gck-map-extract-objects/test/MC_shotgun_L0.xx_mecc_flick.gzp.skn"
|
||||
s = read_skn(file)
|
||||
pprint(s)
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue