Sequence for key observ is of unexpected type object

[daliel]

I wrote my env. my env returns: {'observ':np.ones((64,64,3),dtype=np.uint8)}, reward, done, info
added to the tasks:

def own(config, params):
  # Works with `isolate_envs: thread`.
  action_repeat = params.get('action_repeat', 1)
  env_ctor = tools.bind(
      own_env, 'own, config, params, action_repeat,
      select_obs=None, obs_is_image=True, render_mode='state_pixels')
  return Task('adom', env_ctor, [])
def own_env(
    name, config, params, action_repeat, select_obs=None, obs_is_image=True,
    render_mode='rgb_array'):
  from dreamer import env as env_
  env = env_.Env()
  env = control.wrappers.ActionRepeat(env, action_repeat)
  if obs_is_image:
    env = control.wrappers.ObservationDict(env, 'observ')
  else:
    env = control.wrappers.ObservationDict(env, 'state')
  if select_obs is not None:
    env = control.wrappers.SelectObservations(env, select_obs)
  return _common_env(env, config, params)

def _common_env(env, config, params):
  env = control.wrappers.MinimumDuration(env, config.batch_shape[0])
  max_length = params.get('max_length', None)
  if max_length:
    env = control.wrappers.MaximumDuration(env, max_length)
  #env = control.wrappers.ConvertTo32Bit(env)
  return env

run like this:
python3 -m dreamer.scripts.train --logdir ./logdir/debug --params '{defaults: [dreamer, debug], tasks: [adom]}' \ --num_runs 1000 --resume_runs False
at this line I get obs as dict. what am I doing wrong?